Ten big ideas for 2023

2022 definitely felt like the end of an era. A decade-long party for US tech, fueled by low-interest rates -> increased availability of risk capital -> price inflation across asset classes.

The last chapter of this post-GFC era was perhaps the craziest – an unprecedented pandemic -> widespread lockdowns -> more fiscal stimulus -> injecting more air into already inflated asset bubbles.

With inflation crossing 7%, the Fed finally started increasing interest rates last year and is expected to continue quantitative tightening over the next few quarters. Public market valuations expectedly turned south (valuations are based on DCF, so as discount rates go up, valuations go down), with tech growth stocks correcting by as much as 80-90%.

The following dynamics are currently at play:

  • Large tech: shrinking macro-demand + adverse public markets -> pressure on companies to reduce costs to bring them in line with lower growth projections -> drastic cost-cutting measures, including major layoffs.
  • Venture Investors: public market corrections -> LPs cut back on venture allocations + downward revision of expected returns on exit -> venture activity slows down + any deals that happen, happen at much lower valuations given new public market comps.
  • Startups: less capital available + higher bar in private markets -> startups need to cut costs to survive -> layoffs in high-cost/ non-core functions + pause hiring unless absolutely essential.

2023 appears to be the “year of transition”, as both the overall macroeconomic cycle, as well as the technology sector within it, move into a new paradigm. I see the following ten big ideas for 2023:

  1. Leaner-and-meaner big tech

For anyone working in tech over the last decade, we have witnessed first-hand the level of entitlement & cultural complacency that has grown within large tech companies like Google & Meta. With more challenging times ahead, I expect large tech companies to take drastic steps towards re-wiring their cultures & operating models. Layoffs are just one piece of the puzzle – expect significant changes to compensation policies, KPI/ OKR philosophies, org. structures, functional locations, work-from-home policies, contractor hiring, operating routines etc., all with the aim to make execution more efficient.

Founder-led companies (eg. Meta, Salesforce, Shopify, Coinbase etc.) will take quicker & braver calls to re-invent themselves, compared to those run by professional management teams (eg. Google). In the latter case, I expect shareholders to put considerable pressure on these professional CEOs to take corrective measures. In fact, I won’t be surprised if some of the big tech CEOs get unexpectedly replaced as many of them come across as peacetime CEOs who will struggle in wartime.

2. Capital efficiency over growth for startups

The last decade in tech startups was all about growth. This year, expect investing thesis & operating models to decisively shift towards capital efficiency. Mirroring the demands for margin improvement by public markets, I expect private market investors to significantly raise their expectations on operating efficiency.

Founders will have to react fast and in several cases, give a 1800 turn to their culture & business models. A silver lining – founders who were heads-down amidst the craziness of 2020-21, building their companies in a capital-efficient way, will have an enviable opportunity (& deservedly so!) to play offense both with customers & investors.

3. Bay Area bounces back

Remote work boomed during the pandemic, as tech companies grew at unprecedented rates. However, we saw signs of a comeback-to-office across both big companies & startups last year. With current headwinds, I expect factors like teams getting together to drive execution & in-person networking to become increasingly important.

With rampant layoffs, tech professionals will also feel more insecure & would need more access & optionality to get their careers back on track. All this bodes well for the Bay Area – I expect significant migration to the region, especially for people in their 20s to mid-30s. In terms of the sheer depth of the tech ecosystem, the Bay Area remains unparalleled. As emerging areas like AI, health-tech & EVs gain strength, they will provide even more reasons for talent to be physically here.

4. “De-angelification” of the startup ecosystem

Amidst the post-pandemic investing frenzy, liquidity-rich, over-optimistic, FOMO-driven tech professionals started dabbling in angel investing. Becoming an angel in a “hot deal” became a status symbol, & rapid paper-markups made everyone feel like a winner.

A majority of newbie angels from this vintage neither understand the nuances of this asset class nor have the depth of resources to play the game effectively over the long term.

As more startups start shutting down this year, combined with layoffs & decreasing compensations courtesy dwindling value of RSUs, I expect a massive churn in 2020-21 vintage angels. In my experience, tourist angels typically drop out of the game around the 4-6 deals/ 24 months mark, as they see portfolio companies starting to shut down & their hard-earned money vaporizing into thin air.

5. More pain in Crypto

If you thought 2022 was brutal for Crypto, brace yourself! FTX implosion is only the beginning of a much-needed cleanup in the space. I expect many more tokens to go to zero, projects to shut down & low-conviction talent to move out. Given the scale of the FTX fraud, am expecting even more regulatory oversight & ramifications for the overall sector this year.

Personally, I do believe there is a kernel of truth in the Web3 opportunity. The faster this cleanup happens, the sooner the next chapter can begin & we can make tangible progress towards discovering its real-world use cases.

On BTC and ETH, I expect both to remain flat at best, & significantly down from current levels in the bear case.

6. The FOMO shifts to AI

Whenever there is too much consensus around a trend or an asset class, I get worried! It was clean-tech pre-GFC, then Blockchain & Crypto pre-pandemic, moving to Web3 & future-of-work post-pandemic. Based on my Twitter feed, I can safely say that with the rise of OpenAI & launch of ChatGPT, the FOMO has now shifted from Web3 to AI. I am expecting the space to see a lot of hype, investor interest & startups being launched in 2023.

Studying how the previous FOMO waves evolved gives a fair understanding of what to expect – those without first-principles conviction & a long-term strategy are more likely to get their hands burned. Those who were anyway committed to the space & were quietly building behind the scenes over the last few years stand to disproportionately benefit from the increased availability of risk capital & talent.

7. The return of “moats” (& rise of deeptech)

As the perpetual-growth era of software ends, I expect the question around “moats” to re-appear in the diligence checklist of investors. The lifecycle of companies like Netflix & Robinhood has clearly shown how hard it is to have a sustainable competitive advantage in tech (one reason why Warren Buffet stays away from investing in it!).

As the likelihood of purely growth-driven exits goes down, I expect venture investors to start looking at deeptech verticals with inherent moats much more seriously. These include space-tech, health-tech (including lifesciences), energy, climate etc.

Each of the above markets seems to be getting unlocked in its own unique way & while these companies can be more capital-intensive & have higher technical risk compared to say SaaS or Social, the resulting market leaders have much more defensible competitive positions & hence command healthy valuation multiples.

8. EVs taking over the transportation stack

EVs are seeing major progress on both the supply & demand side. On the supply side, most major auto companies have an EV product in the market, with use cases evolving from urban sedans to SUVs, pickup trucks & now, even semi-trucks.

On the demand side, record-high gasoline prices have acted as a key unlock. This is visible in the rising hybridization of the latest gasoline car models. With non-Tesla EV products rapidly expanding, consumers have more choices across use cases & price points. I wrote a post a few months back on how I warmed up to EVs & Tesla, in particular. I expect EV penetration to have significant growth momentum this year.

9. Digitization of mainstream healthcare

A positive side-effect of the pandemic has been consumers getting increasingly comfortable with digitally-delivered healthcare services. In my case, interacting with healthcare providers over Zoom and accessing services such as Carbon Health & One Medical via their apps (including getting advice via chat) has really opened my eyes to its value. Even beyond that, I work-out with my trainer via video & our family nutritionist is in India with all interactions happening via Whatsapp.

I expect the overall healthcare stack, including mainstream services, to digitize at an even faster rate in the coming year. These tech platforms will also open up opportunities for niche services to exist eg. virtual monitoring & consultations for chronic patients, pre & post-natal advice, nutrition guidance etc.

10. India as a global greenshoot

Amidst an unstable China, weakening EU, war-torn Russia, one-dimensional Middle East, fiscally-unstable LatAm & fragmented Africa, India appears to be a solid greenshoot both geo-politically & economically. A stable & reformist govt. has worked hard to put together core growth pillars over the last 8 years – from building physical infrastructure & a national digital payments network to ensuring economic development at the grassroots & supporting tech startup activity in the country. India is poised to now reap the dividends of all this hard work, and similar to China, grow its per-capita income from ~$2k at present to ~$10k over the next 20 years, all in a democratic environment.

India’s tech ecosystem has also come of age in the last 5 years. The mega question of “can exits of venture-backed companies happen in India?” has been progressively answered, beginning with the acquisition of Flipkart by Walmart, followed by IPOs of consumer companies like Paytm, Nykaa & Zomato in domestic public markets, & the IPO of Freshworks in the from-India SaaS space on Nasdaq. There is a growing pool of startup talent, courtesy of a decade-long Mobile & software wave, which will fuel the country’s tech ecosystem over the next decade.

The above ideas are making me super-excited for 2023, both as an angel investor & operator. After a 2.5-year hiatus, I returned to angel investing in 2022, doing 3 deals in Q4. With the turning cycle & above ideas as a backdrop, my goal is to make 2023 my most active year yet as an angel, while also keeping a high bar on quality. Excited to collaborate with all founders, angels, VCs & operators out there 👊🏽

Subscribe

to my weekly newsletter where in addition to my long-form posts, I will also share a weekly recap of all my social posts & writings, what I loved to read & watch that week + other useful insights & analysis exclusively for my subscribers.

Top 10 enterprise SaaS learnings from a unicorn founder

Was awesome to hear Jyoti Bansal, Founder of Harness and Unusual Ventures, chat with Anant Vidur Puri at the Bessemer Venture Partners Cloud100 India Brunch in SF a few weeks back. He shared actionable insights from his founder journey building 3 outlier startups (AppDynamics, Traceable AI, Harness).

Key takeaways that resonated with me 👇🏽

1) In SaaS/ Cloud, having a free product is really important to drive product-led-growth [note: strongly echoes what I heard from Dheeraj Pandey at the SaaSBOOMi Summit a few weeks back. Post Nutanix, he is building DevRev to be PLG-first].

2) Focusing on getting into enterprise deals much faster in his current startups compared to AppDynamics, as “that’s where the $$ are”. Eg. started doing $1Mn deals ~1.5 yrs into Harness vs taking a few years for the same at AppDynamics.

3) When doing a 0-to-1 in Enterprise, important to first build a “top 3 product” in the segment. Once that’s achieved, various layers of monetization can be built around it.

4) Really important to qualify beta customers in Enterprise, so the product can be built efficiently. Once they start using the MVP, ask them the question “what’s the business case of this product for you?”. Will help filter out potential non-customers from the beta group.

5) While in the early stages of building an Enterprise product, avoid going down a feature-building rabbit hole for specific customers. The risk here is building features that not everyone will use.

6) Content marketing is key to early customer discovery. Put great content out there and let customers find you.

7) To identify which customer segment to focus on, run multiple experiments & track metrics. Eg. do cold emails on LinkedIn to multiple personas in parallel & measure response rates to see where you are getting the most interest.

8) To build a $100Mn ARR Enterprise business, founders need to have a view early on of how that destination math will eventually look in terms of no. of customers & ACV.

9) Interestingly, the current macro climate is seeing a slowdown only from an investor perspective. Enterprise customers are still growing rapidly & also spending more on software.

10) Important to operate lean in times like these where access to capital is getting constrained. Eg. at Harness, we are asking the question “can we achieve the same growth targets but with 20% less burn?”. Looking grounds-up at each function’s op-structure & optimizing.

Subscribe

to my weekly newsletter where in addition to my long-form posts, I will also share a weekly recap of all my social posts & writings, what I loved to read & watch that week + other useful insights & analysis exclusively for my subscribers.

An angel’s struggle with entry valuations

Recently, I was in a shareholder’s meeting of a portfolio company. It has been a gut-wrenching last 3 years for the leadership. Unfortunately, the company’s market pretty much shut down during Covid. Significant liabilities built up & the team saw significant churn. To survive, the company had to raise a bridge at a major haircut.

During the meeting, the management team walked us through their journey of turning the business around from this dire situation. After the lockdown was over, customer demand got re-ignited. The company drastically cut costs, improved operating metrics to get revenue back on track, re-negotiated long-term vendor contracts, and cleared-off short-term liabilities, all while retaining the core manpower, many of whom had to take salary cuts.

As a result, the company is now PBT-profitable & growing through internal accruals. Btw this turnaround was achieved on a ~$13Mn revenue base. As an operator & ex-founder, I was blown away by this execution story & the team’s grit.

But then, I put my investor’s hat on – despite all this progress, early investors are deeply out-of-money & are likely to remain so for a while. During 2017-19, the company raised equity at aggressive valuations that were misaligned with both the maturity of the business as well as the underlying multiples the sector trades at. In boom times, startups get valued at hyper-growth tech multiples. However, as soon as the cycle resets, follow-on investors revert to valuing them on realistic sectoral comps.

The good news is, courtesy of the awesome restructuring efforts, the business is on a profitable growth path. But given the extent of divergence between our entry valuations & current market comps, it’s going to be a long road toward generating healthy returns for early investors. And even if we get there, the sheer time taken will negatively impact IRRs.

As an angel, this is the part I really struggle to get my head around – how important is the entry price? Bill Gurley says in this 20VC podcast with Harry Stebbings“the market sets the price on a deal-by-deal basis but as an investor, you have to keep an eye out for the price you are paying at a portfolio level”. This becomes especially hard for angels, who typically have to adhere to the price set either by the founder (SAFEs) or an institutional lead. In this era of fragmented checks via syndicates, SPVs & RUVs, I frequently see valuations that aren’t correlated to the underlying risk in the business & smaller check investors unable to push back. Ultimately, everyone ends up toeing the line.

As an investor, I always have the option of not participating in a highly-priced round. But then enters the other side of the coin – power law ensures very few companies drive a majority of venture returns. Therefore, angel investing is the game of accessing the “best” companies, which often requires paying up to get in. An argument frequently made is “if the company ends up as an outlier, it doesn’t matter what price you got in at”. I get this line of thinking but an “outlier return” is very contextual. Eg. a 10x return potential over a 5-7 year period is very solid for an angel, though might not meet the deal hurdle for a large fund. There are cases in my own portfolio wherein early angels are sitting on a 5-10x unrealized return because we entered at sub-$10Mn valuations and frankly, the likelihood of a startup hitting a $50-100Mn valuation is significantly higher than becoming a unicorn.

Over a 20+ angel portfolio built over 8+ years, I still struggle with thinking about entry valuations the right way. Presently, am taking it deal-by-deal with the guiding North Star of discovering & backing the best founders I can find, while also accepting the reality that angels will usually be price-takers that are prone to macro sentiments & the whims of lead investors. As Bill Gurley advises, maintaining perspective & discipline around portfolio-wide avg. entry price seems to be a smart way to play a balanced game.

Subscribe

to my weekly newsletter where in addition to my long-form posts, I will also share a weekly recap of all my social posts & writings, what I loved to read & watch that week + other useful insights & analysis exclusively for my subscribers.

Building an anti-fragile career (& life!)

With the recent layoffs at Twitter, Stripe & Meta, alongside the implosion of FTX, this appears to be the decisive starting point of the tech downcycle in the US. While market leaders & institutional investors have adequate resources to ride this impending downturn, the real impact is going to be felt by tech workers, who designed their lives around the prevailing system of high cash comp, RSUs whose value kept going up (courtesy of a low interest rate fueled bull market over the last decade), fielding multiple job offers largely driven by their employer’s brand and work-from-home flexibility.

This downturn will shift the power back into the hands of employers. Many in their 20s & early-30s will discover that they are ill-equipped to operationally, financially & emotionally deal with this drastic reset in the tech job market. In most cases, the hardship they will go through will have nothing to do with their capabilities or contributions.

As we all prepare to face this downturn with little personal control over many externalities, I believe this is the right time to ask a really important question – “how do we build an anti-fragile career (& life!)?”. For those not familiar with this concept, it was coined by one of my favorite modern thinkers – Nassim Nicholas Taleb. Here’s how he defines it in his book by the same name:

Some things benefit from shocks; they thrive and grow when exposed to volatility, randomness, disorder, and stressors and love adventure , risk, and uncertainty. Yet, in spite of the ubiquity of the phenomenon, there is no word for the exact opposite of fragile. Let us call it antifragile. Antifragility is beyond resilience or robustness. The resilient resists shocks and stays the same; the antifragile gets better. 

From Antifragile: Things That Gain from Disorder (via Farnam Street)

Dealing with volatility, randomness, risk & uncertainty is an inherent part of an outlier tech career. Unlike other industries, tech is ruled by ruthless power law outcomes that are driven by tremendous leverage (software), high scalability with minimal marginal cost & top talent that creates intense competition by starting, operating & investing in new ideas. Given these dynamics, capital & talent rushes into prospective outlier companies, all of whom then execute with intensity. Ultimately, a handful of market leaders remain standing in each space, and the rest die. The cycle then resets – rinse & repeat.

While the above pattern seems obvious on reading, most tech employees remain oblivious to the “high risk-high reward” game they are playing. While early-stage founders, startup employees & venture investors understand this more than others, this downcycle is showing that even FAANG & scaled enterprise software jobs aren’t as derisked as everyone thought. This isn’t surprising, given the sheer pace & intensity of creative destruction in most tech verticals. And if we go by how things have played out since the dotcom crash in ’01, this disruption will only become more brutal in the next 2 decades.

So coming back to the anti-fragile career (& life!), I have been asking this question to myself for more than 5 years now. I started thinking on these lines much earlier than usual, probably ‘cos I have a tendency to keep disrupting myself in order to chase large opportunities & therefore, I have subjected both my professional & personal lives to significant stressors over the last decade. From leaving a lucrative VC career in India to move to the Bay Area with just 2 bags & no job in hand, to giving a shot at driving Alibaba’s global expansion pre-IPO when few knew about it, then doing my own startup through the pandemic in a very lean way, while in parallel to all these adventures, also angel investing with my own salaried money in 20+ companies, many of them at an idea stage.

Having been on every side of the table over the last 15 years (founder, startup operator, big tech operator, angel, VC), one thing I internalized very soon was that chasing large outcomes in tech is a high failure rate, multiple-shots-at-the-goal kind of game. It’s hard to know with high certainty what product/ company/ investment will become an outlier & when, so staying power becomes super-important. In this context, another mental model from Taleb (originated from his days as a public markets trader) really resonated with me:

Avoid risk of ruin.

Nassim Nicholas Taleb

I combined the 2 models of creating an anti-fragile career and avoiding risk of ruin, to design & practice my life in a very specific way. Sharing some of my key life rules for the benefit of anyone with similar goals & context:

  1. Embrace risk – rather than ignoring or avoiding it. ‘Cos risk will find you anyway. The best starting point for managing risk is to acknowledge its perpetual presence in your life.
  2. Regularly practice adapting to change – over a long lifetime, change will creep up on you whether you like it or not. It’s important to keep your muscles trained during peacetime, to deal with big changes during wartime. Going out of your comfort zone & routinely taking up low-risk, micro changes go a long way in building muscle memory. Eg. take up the mini-project at work that you don’t feel ready for, overcome your inertia & go to the networking event, or push yourself to have that tough conversation you have been avoiding.
  3. No complacency – remember the best-seller ‘Only the Paranoid Survive‘ by the legendary Intel Founder & CEO Andy Grove? Oh man, it’s so true! The key to thriving across cycles in tech is to never be complacent in your success. It only takes one black swan event, one war, one economic crisis, or one new competitor to take it away.
  4. Acquire & continuously improve real-world skills – whatever is the space, stage or timing in the economic cycle, core operating skills are always going to be valuable for building any business. In tech, the 2 core “L1” skills are a) ability to build a software product and b) ability to sell a software product. These are then surrounded by other “L2” skills such as operations, finance, human resources etc. Whether you are 25 yrs old or 45 yrs old, acquiring & improving these L1 skills (backed by specific L2 skills you are good at) should always be your North Star.
  5. Execute your skills with hustle – an armory of relevant skills is irrelevant unless it’s backed by strong execution. Be it a tech startup or a publicly-listed Big Tech, superior execution is key to winning & retaining market share. In this context, the word I really like to use is “hustle”. In my book, hustle means “doing whatever it takes to get the job done”. Unfortunately, everyone’s hustle-quotient goes down in bull runs, as returns become increasingly uncorrelated with effort & more correlated with (rising) macros.
  6. Hone your specific “competitive edge” – as with companies, talent gets rewarded the most when it figures out its specific edge & brings its skills+hustle to a team that needs that edge the most. Like the way any good founder or leader evaluates their product, view yourself as a ‘product’ too. Keep asking yourself the question – “where do I have the strongest product-market-fit?” to figure out what your edge is.
  7. Nourish a high-quality network – to start the go-to-market of your ‘product’ (skills+hustle+edge), you will need the support of your network to do lead-gen of relevant opportunities. The best opportunities are almost always behind the firewalls of relationships & cliques. And it’s difficult to break into it cold when you really need it. Important to keep investing in & nourishing a wide-enough network, especially as loose connections typically give the best access.
  8. Play repeated games with the most-valuable relationships – while building a wide network, it’s also important to identify a small set of people you have the most professional synergy & personal resonance with at any point in time. Once you know who they are (<10 people in most cases), consciously make an effort to reach out, help them achieve their goals & look for ways to collaborate with them. Behind every game-changing opportunity is prior trust & reputations at play. The best way to build real trust is to play repeated games with a small set of high-quality people & show up with consistency in them.
  9. Minimize leverage – history shows that the most frequent reason behind the ruin of both companies & individuals is leverage (debt). And interestingly, the propensity to take on more debt rapidly increases during bull markets. Of course, home mortgages are an important source of cheaper, long-term debt but even that needs to be done with discipline wherein your monthly cash flows should line up well even if the going gets tough. I grew up in a middle-class Indian household and as every Indian of this background will tell you, we are taught to be wary of debt since childhood. Now I know why!
  10. Maintain low household burn – even the highest salaries cannot sustain a lifestyle that goes beyond means, leave alone the scenario of tough times wherein the salary itself goes away for an extended period of time. To keep playing the game during both good and bad times, I always like to remember Benjamin Franklin’s age-old virtue of “frugality”. Living below your means is key to avoiding ruin & getting your freedom back.
    • Bonus point: to lead a quality life even while staying frugal, I have found “focusing on value-for-money (ROI) over penny-pinching” as a good framing to achieve goals that are important to you while minimizing personal conflict.
  11. Create multiple sources of income – as the current layoffs are showing, even if you are the most talented & hardworking employee, your salary can go away in an instant & due to reasons that are completely outside your control. I strongly believe that a monthly salary as the single source of family income is a major personal finance risk. Whatever your life stage might be, it’s important to continuously work towards creating other sources of income. These could be dividend income from public market investments, rental income from real estate, side-hustles like operating an Amazon store, weekend consulting or contracting work in your area of expertise etc. Though it might take several years of focus & discipline to put these non-salary cash flows together, once this system gets set, it will compound without much effort and give you freedom & flexibility when you call on it.
    • Bonus point: while setting up these supplemental income streams, it’s equally important to do the basics of personal finance & money management well. These include 1) paying off high-cost/ short-term debt (eg. credit card, auto, personal loans etc.), 2) saving x% of income every month & investing it in your desired asset classes, 3) taking full advantage of relevant tax benefits including maxing out retirement contributions (401k, Roth, IRA, 529 etc.), 4) avoiding large-ticket, cash-flow-foolish decisions at every life stage.

These are some core rules I have discovered while attempting to create my own anti-fragile career (& life!). The virtues behind them are all from grandma’s wisdom – discipline, humility, less ego & more sacrifice. As it turns out, grandma’s wisdom is more relevant than ever in this age of AI & Crypto 🙏🏽

Sending you my very best wishes, as you navigate these turbulent times. This too shall pass, and when it does, I hope to see you stronger (& anti-fragile) on the other side ⭐️

Subscribe

to my weekly newsletter where in addition to my long-form posts, I will also share a weekly recap of all my social posts & writings, what I loved to read & watch that week + other useful insights & analysis exclusively for my subscribers.

The “but” decisions

Was talking to a really early stage startup recently. The founders have been building the product as a side-hustle, have a few initial users but are now facing a decision fork. They need to raise capital to be able to leave their full-time jobs and focus on the startup BUT investors typically want founders who are already full-time before they commit capital. How does one resolve this?

I have personally faced several such forks, especially since starting-up 2 years back. I call them “but” decisions – they are irritatingly hard because both sides of outcomes have similar chances of actually happening.

  • Despite many iterations, the product isn’t hitting the expected metrics. On one hand, you had decided that if the desired metrics aren’t achieved, you will seriously evaluate the company’s future. BUT, you also hear stories of perseverance where an extra 12 months ended up changing the growth trajectory of many startups.
  • You are close to hiring someone for a super-critical role but aren’t fully convinced yet on the candidate. On one hand, it could be just the person you were looking for, who ends up contributing really well. BUT, it could also blow up in your face, end up eating valuable runway and adversely impact the rest of the team.
  • You are feeling stressed about various challenges facing the company, and are contemplating discussing it with an investor in the company. On one hand, the investor’s interests are perfectly aligned with yours and advising founders is one of their core roles. BUT, you have seen/ heard of several cases where these interactions have blown up in the founder’s face in more ways than one.

“But” decisions also have other added complexities like not having prior experience to turn to & existential impact in case of an unfavorable outcome. A common advice would be to talk to people who have dealt with similar situations. Again, what I have seen is that you get very divided opinions wherein people in the past have ended up on either side of the equation.

I haven’t yet been able to figure out a perfect framework to make these “but” decisions. Typically, I try and go by first-principles, following a method very similar to what Annie Duke frequently talks about:

  1. Map out various outcome scenarios
  2. Do a macro-filtering based on a) values and b) goals I have set for the particular context
  3. Figure out the upside & downside quantums for each scenario (qualitative and/ or quantitative)
  4. In my head, assign some kind of (even qualitative) “probability” to each scenario, based on what I know at that time
  5. See what the expected payoff is looking like for each scenario

While speaking to relevant experts/ mentors, rather than accepting any binary advice on face value, I adjust the above variables based on their inputs. Also, I try and adjust for few specific biases I know I have been prone to in the past (eg. optimism bias in my case). My better half plays an awesome role in calling my biases out :).

I know these decisions can’t be taken mathematically but the above process at least makes sure I am thinking 3600 about the problem. But even with all this prep & analysis, frequent screw-ups happen 🙂 It’s part of the game – I believe the idea is to get a little bit better at these “but” decisions each time…and avoid risk of total ruin to be able to keep playing the game.

Workomo 2.0 - manage your network in one place

To everyone who has been following Workomo’s (and my) journey over the last 2 years, apologies for the hiatus — our entire team took a break from writing to channel our energies towards building Workomo 2.0.

Since the beginning, our vision behind Workomo has been to build an intelligent hub where a professional’s entire network lives, including valuable context around these people. So what is Workomo 2.0 and how did it come about, you might ask? Read on to find out…

1. Workomo 1.0 journey — tiny steps with mighty pivots

The driving force behind our vision, as I had articulated in my original blogpost in June 2019, was my own frustration with the limitations of LinkedIn esp. its lack of relevance, noisy feeds, extremely weak search, and no workflow capabilities.

First landing page

Starting from launching the first landing page and opening the waitlist in mid-2019, over the next 1 year, we actively iterated on what’s the most burning problem we should be solving first, and what’s the easiest solution we can build for it. After about 15 MVP iterations, we got the most traction from users for the simple use case of displaying a distilled professional profile of a person before you meet them and doing so with minimal typing or manual work from users.

While the use-case sounds simple, achieving this simplicity required creating a highly automated people-intelligence API even for the first cut. We created the v1 of this platform & built a Chrome extension that delivered this people-info directly in workflows like calendar, Meet & Zoom in a “zero-typing” experience. We launched Workomo 1.0 on Product Hunt in Aug’20, trended #1 for several hours, ended in the top 10 products of the day, and got featured in their newsletter.

Product Hunt launch

2. Learnings from active users 

Between Oct-Dec’20, the Workomo Chrome extension got tons of user love. People used it for everything from Lunchclub meetings to interviewing over video. We also started receiving active feedback on what users want Workomo to be, in order for them to use it more deeply & eventually pay for it. The most important of these being:

#1 A more holistic network management experience that has utility even outside of ‘meeting a new person’, and where users can do many contact-management actions (eg. add a contact, search etc.)

#2 Ability to bring your own insights into Workomo (a.k.a note-taking)

#3 Significantly better profile-matching accuracy

#4 Even deeper integrations into a user’s workflows, to make the UX more intuitive

#5 Multi-calendar, multi-address book & multi-platform support

Sounds familiar? Our users had themselves defined the product manifestation of Workomo’s original vision — creating a smart & simple professional relationships management hub.

3. Alpha launch of Workomo 2.0

Perhaps for the first time, we knew exactly what we needed to build to effectively solve a burning pain point for our users. And this time, our goal wasn’t just to get users; we wanted paying customers. It was time to turn on monetization.

During Jan-Mar’21, we built our entire web app from the ground up to include all the above capabilities. In parallel, we created a significantly upgraded v2 of our people-intelligence API with improved identity-mapping accuracy, shorter data-display times for real-time workflows, and higher profile processing capacity. Powered by a herculean effort from Team Workomo, we soft-launched Workomo 2.0 alpha in Apr’21 to existing users.

Workomo 2.0 is your “one-stop-shop” smart Rolodex that deeply integrates into calendars & address books, aggregating contacts as well as important info about them in one place. 

What’s even cooler? Your Workomo Rolodex actually interacts with your life, showing you profiles of people you are about to meet, enabling you to take people or meeting notes when and where you prefer, sending you smart pre and post-meeting reminders, and making everything about your network contextually searchable. Basically, everything you wished LinkedIn could do for you! 

Workomo is now an end-to-end product suite :

  • Supports multi-calendar and multi-address book integrations (both Gsuite and Office 365)
  • Can be accessed by a progressive web app on both desktop and mobile browsers as well as a Chrome extension
  • Displays people-info across calendars, browser Meet & Zoom PLUS…
  • A super-cool, on-demand “assistant” experience coming soon on your favorite messaging app

Here’s a 60 sec. product intro of Workomo.

Workomo web app

4. Paying customers across multiple countries

Even before starting the company, I had always imagined the following 3 elements as being integral to my vision:

#1 Effective aggregation â€” auto-capture any important person I interact with on any platform

#2 Minimize manual work— drastically reduce the inertia of managing my network

#3 “Fabric” user experience— be present everywhere in my life but show up only when I need you the most

As a founder, it gives me immense satisfaction to see that Workomo 2.0, as it stands today, is perhaps the closest manifestation of my original vision and the way I had imagined the product to be.

Given the depth of the product now, we gradually turned on monetization over the last quarter with our “Premium” ($8.99 per month) and “Pro” ($14.99 per month) plans. Super-stoked to share that we now have paying customers across multiple countries including the US, UK, and India. Overall, Workomo has touched users in more than 20 countries since our first launch.

5. What’s next?

We are about to soft-launch a game-changing integration into a top mobile messaging platform— a one-of-its-kind experience wherein a customer can interact with its Workomo Rolodex entirely in an on-demand “assistant” experience to add contacts, fetch contact profiles (what we call ‘cue cards’), add people/ meeting notes & get smart reminders.

Stay tuned for more updates on it!

We keep marching on…

Workomo 2.0 is a result of the courage, conviction & hard work of Team Workomo — SwarajNidhiPankajHarshSujithRhythm, and Stas. Super-proud of this team for overcoming all kinds of challenges thrown at it, from the pandemic and delivering in a fully-remote & distributed team, to solving extremely hard data problems & cracking an intuitive design language.

This journey from 0 ➡1.0 ➡2.0 has been intense, gut-wrenching yet full of learning & transformational at a personal level for each of us.

We would love to have you try out Workomo 2.0 (sign-up here) and get your feedback. Till next time ✌🏽

PS: check out a 60 sec. intro of the product.

Note: This post first appeared on the Workomo blog here.