Gobble Bot

Hacker News

Gobble Bot

All your content digested into one text file You have a website, PDF or a Youtube video and want to make a GPT chatbot on ChatGPT. Simply use Gobble Bot to turn it all into one text file, ready to use for training. see demo video: https://x.com/rafal_makes/status/1723786488578556203 -> What is this? Gobble Bot is an all-in-1 scraper designed to convert all different kinds of content into one text file. -> Why do I need it? You need it if you want to create a GPT (a custom ChatGPT chatbot) but your content is a website, YouTube video or spans more than 20 files (the current upload limit for GPTs). You can crawl the whole internet and turn it into a chatbot, I guess. -> What data does it handle? Youtube videos with transciptions, public websites and files with extensions: .TXT, .MD, .XSL, .PDF, .DOC, .DOCX, .ODT, .OTT, .RTF, .HTML, .HTM, .ATOM, .RSS, .XML, .XLS, .XLSX, .XLSB, .XLSM, .XLTX, .CSV, .ODS, .OTS, .PPTX, .POTX, .ODP, .OTP, .ODG, .OTG

Visit product View on Hacker NewsDec 3, 2023

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5points

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Did not reach leaderboard

Launch Intel predictions

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

75%75% 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: chatgpt · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

50%50% 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

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: training · 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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