Validate, Launch and Grow 3-5x Faster with No BS Startup Guide

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Launch and grow your startup 3-5x faster with the No BS Startup Guide. Get +400 specific tactical activities that you can start doing today, to save 2,000 hours of research, and know exactly what to do every step of the way. I started the guide initially for myself. I posted on reddit over a year ago ( https://www.reddit.com/r/Entrepreneur/comments/q7by8n/the_ul... ) and it became super popular. I kept using it and adding to it as I've coached and mentored over 200 founders. After thousands of hours of research and field testing, I am ready to release it. Still in early access and lots of things are work in progress.

Visit product View on Hacker NewsFeb 1, 2023

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

78%78% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

67%67% 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: way · Missing: mobile apps, ios, personal

43%43% 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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · 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.

Correct prediction on native model

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