Hichatbot.ai – Chat with your documents, video transcripts

Hacker News

Hi HN, I created this site recently and need som feedbacks. Please give it a try, let me know if you see anything to need to be improved or added. Below is the summary of https://hichatbot.ai What is HiChatbot? - HiChatbot is an AI-powered chatbot that can answer your questions about documents, text, and videos. You can upload a document, text, or provide a video link to HiChatbot and have a Q&A chat with the content. What are some of the things I can do with HiChatbot? You can use HiChatbot to: - Summarize the main points of a document - Get more details about a specific topic in a document, text, or video - Based on the provided document, generate creative text formats of text content, like executive summaries, reports, poems, code, scripts, musical pieces, email, letters, etc.

Visit product View on Hacker NewsSep 24, 2023

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

61%61% 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 · Missing: plus, platform, intuitive

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

60%60% 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

40%40% 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

26%26% 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

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 · Missing: web3, crypto, cryptocurrency

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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