iOS] Get multiple answers from diverse AI models with one question

Hacker News

Aidely - get answers from multiple AI models [ChatGPT, Bard, and Llama] at once. Continue threads with your favorite AI models and interact with other users to generate the combined knowledge. Discover the future of community engagement with our iPhone app. Seamlessly blend human creativity with AI prowess as users collaborate with ChatGPT, Bard, and Llama to spark captivating threads and discussions. Join us in shaping the next frontier of content creation. Any feedback to the service is greatly appreciated~!!

Visit product View on Hacker NewsFeb 15, 2024

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

81%81% 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.

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

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, answers, users · Missing: mobile apps, personal, entrepreneurs

72%72% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

BetaListMay not resonate with beta-testers · Strong signals: chat, collaborate · Missing: web3, crypto, cryptocurrency

30%30% predicted probability of success on BetaList, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: llama, ide, io · Missing: https docs, excited, just released

30%30% 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 · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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