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Keep yourself accountable on your indie projects

Hacker News

Keep yourself accountable on your indie projects

Hey HN! I’m excited to share JustLog, a platform I created to help indie devs (like me) share project updates, engage users, and stay motivated through gamification and social interactions. Why did I build this? As an indie dev, I often struggled to share updates and stay accountable. JustLog helps me track my journey, share progress with users, and stay motivated with achievements and a leaderboard. It’s also great for sharing system updates with clients in a fun, engaging way. With JustLog, you can write updates in Markdown, customize your page with a custom domain and your own logo, earn achievements, and track progress on the leaderboard. Who’s it for? Indie devs, makers, and game devs who want a lightweight, fun way to share updates and grow their projects. I’d love your thoughts! Would these features solve a problem for you? If you're an indie dev, what keeps you from sharing regular updates? Do you see any creative use cases for JustLog beyond indie projects?

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
79%79% 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: created · Missing: supports, reddit linkedin, podcasting
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist
36%36% 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: users, way · Missing: mobile apps, ios, personal
29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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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