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Nobooks – Automated Bookkeeping via Text for Solopreneurs

Hacker News

Nobooks – Automated Bookkeeping via Text for Solopreneurs

Hey HN, I freelanced as a software dev for 4 years, and bookkeeping was always a pain—tracking expenses, dealing with 1099s/W9s, and scrambling at tax time. Most accounting software felt overkill, and I just wanted something simple. So I built Nobooks—a bookkeeping tool that works entirely via text messages. No apps, no spreadsheets—just automatic expense tracking + 1099/W9 filings for $119.99/month. It syncs with your bank and keeps your books up to date with minimal effort. We’ve got paying customers, but I’d love to hear your thoughts on the product and ideas for reaching more freelancers and solo business owners. Check it out here: https://www.nobooks.co Would love feedback—what’s worked for you in managing your finances as a freelancer?

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Actual performance

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% 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: apps · Missing: mac, agents, macos
61%61% 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 · Missing: https docs, excited, just released
58%58% 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: apps, month, way · Missing: mobile apps, ios, personal
57%57% 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
28%28% 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
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: finances · 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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