AIMless (Live Demo) P2P Encrypted Chat in One HTML File

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Last week I shared the repo for AIMless, my silly experiment to see how far I could push “chat app, but only index.html.” Now it’s live at https://aimless.chat so you don’t even have to clone or double click anything. just open and relive your AIM nostalgia. INSTRUCTIONS: Host clicks “Create” → gets a blob. Copy/paste blob to your friend. Friend pastes, returns blob. Boom, encrypted chat like it’s middle school and your mom needs the phone line. Github: https://github.com/ImZackAdams/AIMless

Visit product View on Hacker NewsAug 27, 2025

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

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive

57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

37%37% 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

37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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 · Missing: web3, crypto, cryptocurrency

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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