Not Another AI Platform

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I'm 15 and this is my AI workspace platform that I have building as a side-project. I really wanted an AI platform that had all the latest features like tool-calling, web search, advanced reasoning etc. along with really nice ui/ux - like custom elements for email drafts, flashcards, instructions and checklists that not only stand out from all the paragraphs of text we are familiar with AI but these "cards" or "widgets" are also interactive to the user. Instead of waiting for something like that to exist, I started building it myself. That became HelloAI. It supports the latest AI models, but really what stands out is the richer output formats designed to make AI outputs more usable instead of just long paragraphs. It's still independent and something I actively use and keep improving based on real usage and feedback. I'd appreciate any feedback on the idea, UX, or anything you think could be improved.

Visit product View on Hacker NewsJun 30, 2026

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, started, para · Missing: reddit linkedin, podcasting, created

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best fitHighest predicted score across all platforms for this description.

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

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

71%71% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

56%56% 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: widgets, para · Missing: mobile apps, ios, personal

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

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

11%11% 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.

Incorrect prediction on native model

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