AutoGPT Agent as a Custom GPT

Hacker News

AutoGPT capability is now available as a custom GPT! Say hello to AutoGPT Agent by AGI Layer. Now accessible to all ChatGPT Plus subscribers, this powerful custom GPT runs semi-autonomously to: Plan and strategize Conduct research Use multi-modal tools It harnesses the power of GPT-4, DALL·E 3 image generation, Browse with Bing web search, and Code Interpreter. With AutoGPT Agent, you're in control. It operates semi-autonomously, allowing you to: Approve next steps Intervene and modify instructions Start new task chains Provide additional context Try AutoGPT Agent today to complete tasks with just a few keystrokes. All feedback is welcome.

Visit product View on Hacker NewsNov 28, 2023

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

65%65% 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

41%41% 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

31%31% 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 · Strong signals: subscribers · Missing: arr, mrr, revenue

20%20% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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