Habit Pocket

Habit Pocket

TrustMRR

Most habit apps only ask did you or didn't you. Habit Pocket asks how many, at what time, and which one - checkmarks, numbers, times of day and select lists in the same grid. You can also mark a day s

Most habit apps only ask did you or didn't you. Habit Pocket asks how many, at what time, and which one - checkmarks, numbers, times of day and select lists in the same grid. You can also mark a day skipped: not done, not missed. Different colour, streak carries on. There's a public API and an MCP server, so Claude can read your actual data and answer questions about it. No points, no levels, nothing that dies if you take a night off.

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Actual performance

6customers
$23MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating18
MRR growth 30d+1696.0%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal
69%69% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: claude, mcp, apps · Missing: mac, agents, macos
68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, 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 · Strong signals: arr · Missing: mrr, revenue, profit
21%21% 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
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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