Innerpage – An open-source Anonymous Digital Journal

Hacker News

Hello I made Innerpage for myself, to pour out sensitive thoughts and feelings without worrying about privacy. Since this habit of putting out tangled, stressful thoughts into words did seem to have tangible benefits overtime, I'm open-sourcing it for others who might find it helpful. Innerpage doesn't need email or whatever to create an account. No tracking. Nothing. Just setup your account with username and password, you're done! You can self-host or use the managed version (link is in the repo) Do give it a shot and let me know how to make it better. I particularly need the following feedback: 1. What are your first impressions? 2. What features should I include into Innerpage? 3. Is the repo descriptions fine and easy to follow? Thanks for reading

Visit product View on Hacker NewsSep 15, 2024

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

84%84% 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 · Missing: supports, reddit linkedin, podcasting

79%79% 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

68%68% 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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

43%43% 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

16%16% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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