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100 entrepreneurs share the story of their struggles and life experiences

Hacker News

100 entrepreneurs share the story of their struggles and life experiences

I have been working on a book over the past few months. The objective of the book was to talk to 100 entrepreneurs from diverse backgrounds to understand how they went through the various challenges that come with starting up a business. I was fortunate to talk to a number of extremely successful entrepreneurs including the founders of companies like Freelancer.com, Fiverr, Udemy, Grooveshark, RackSpace, Tagged.com, etc. Outside the technology space, I got to talk to the founders of companies like YogaFit who are the world's largest Yoga training school, All American Clothing, Wild Wing Cafe, etc. There are also a few entrepreneurs I talked to who did not succeed in their ventures and they described the pains of finding a regular job after a startup failure. Overall, it was a wonderful experience talking to farmers, bakers, social media experts, sales executives, etc. as they told the story of their struggles. Here is a preview for the book : https://www.dropbox.com/s/0evrb66hvg4ucoy/Preview-copy.pdf Amazon link : http://www.amazon.com/How-Did-entrepreneurs-struggles-experiences/dp/149759975X/ I have included the master list of all entrepreneurs featured in the book in the last page of the preview; in case anyone's interested. Would love your feedback on my book.

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
95%95% 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: ide, io, including · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: entrepreneurs, month · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue
20%20% 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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