Successful One-Person Startup by a Self-Taught Coder

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In 2013, I was living in India, studying accounting and finance full time. I started coding as a hobby using online tutorials to learn. I launched FormCrafts (https://formcrafts.com) after 3 years of failed projects. I dropped out of college, and spent the next 3 - 5 years living a nomadic life before settling down in Toronto. FormCrafts is a bootstrapped one-person startup with thousands of users all over the world. I have no major expenses, and the revenues are over USD 150,000. I usually work 5 - 15 hours a week, but I spent the last year working on a major update (which is now live) so the hours are up to 35 + I have no intention of hiring people or chasing the Silicon Valley dream. My plan for the next 5 - 7 years is to sell my laptop, retire, and open an animal sanctuary / yoga community. I wanted to share my story, and the new iteration of FormCrafts (https://formcrafts.com). Happy to answer any questions about tech, coding, mindfulness, etc ... :)

Visit product View on Hacker NewsOct 9, 2020

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Actual performance

3points

4comments

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

96%96% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, using · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, bootstrapped · Missing: arr, mrr, profit

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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