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Instagram TUI client to reclaim attention

Hacker News

Instagram TUI client to reclaim attention

Hey HN, We are James and Jet, two high school / college students We're tired of all the brainrot on social media, so we built Instagram CLI - a lightweight terminal client for Instagram which filters out distractive content and allows you to focus on genuine conversations with friends. Features: - Full DMs support: receive and send messages, reply, react, chat navigation, etc. - View feed from people you're following and your notifications - Full keyboard control with developer-friendly shortcuts - In-terminal image rendering - Highly performant, faster than Instagram's GUI; uses its native MQTT protocol for real time message updates We aim to give back control of social media to the user instead of accepting whatever content the platform wants us to see, while preserving its core function as a social networking tool. Try it out: https://github.com/supreme-gg-gg/instagram-cli (demo video on github) We just finished a complete project migration from a curses-based UI to React/Ink and modernized the UI Would really appreciate feedback from the community :) Thanks for reading!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Strong signals: platform, friendly · Missing: plus, intuitive, reviews
72%72% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · Strong signals: chat, real time · Missing: web3, crypto, cryptocurrency
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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