I

I built an accountability companion that lives in your texts

Hacker News

I built an accountability companion that lives in your texts

Problem: You have a million things going on and stuff slips. Passport renewal, car registration, kid's doc appt, why you started going to the gym in the first place. You text yourself reminders on the go or dump it in your notes app and never look again. Solution: Faro. Text it what you need to do, and every morning it texts you the list of what's still open. Why it works: 1. It texts you every morning. Not a one-time notification, not a note you never open. Stays top of mind. 2. Done with something? Just tell it. No editing notes, no re-texting yourself a new list. 3. Zero friction. No calendar menus, no alarm settings. You remember something on the go, you text it, done. 4. Reminds with context! One user prepping a conference talk doesn't just get nagged, Faro reminds her who's in that room waiting to get value from it. Try it today (or just text it lmao, that's the whole onboarding): "hey faro" to +1 (646) 879-0459 or check out: https://www.justtextfaro.com/

Visit product View on Hacker NewsJul 29, 2026

Actual performance

6points

1comments

Did not reach leaderboard

Launch Intel predictions

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

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% 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 · Missing: mobile apps, ios, personal

48%48% 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

37%37% 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

18%18% 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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