Li

Like OG Instagram X Myspace

Hacker News

Like OG Instagram X Myspace

A pretty standard social media app with usual suspects: - Post photos with comments - Comment on photos - Follow people - DM people - "Like" posts (likes are private to you) And a few features long forgotten in social media: - Fully customize your profile with HTML/CSS - Comment on another person's profile It's kinda slow because the FE is on Vercel (free) and the BE is with some other stuff on a Raspberry Pi in my apartment with little caching. If people use it, I'll move it to a big boy setup.

Visit product View on Hacker NewsSep 15, 2024

Actual performance

1points

1comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

72%72% 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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% 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 · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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