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Kafka, the first AI employee (NEW SOTA ON GAIA BY 20%)

Hacker News

Kafka, the first AI employee (NEW SOTA ON GAIA BY 20%)

Hi HN, I'm Gokhan, the founder of Brainbase Labs. Today we're releasing an early preview of our first generalist agent, Kafka. Kafka is the first AI employee, he comes with his own computer as well as his own email, phone and Slack so you can work with him just like you would with a regular employee. You can forward him emails, give him a call, tag him on Slack. We built Kafka as the basis for our other AI employees we will be releasing over the coming months. Kafka currently achieves 77.2% on the GAIA Level 3 benchmark, getting us closer to human performance at 87%. We've achieved this by creating a new type of planning algorithm called "structured planning" which allows Kafka to run very long term plans without getting sidetracked or hallucinating. Kafka can do some cool things, he can push code to AWS, direct its own commercial using Veo3 and do actual production tasks on Upwork/Fiverr. We're very keen to hear what HN thinks about Kafka, and how we can improve. Appreciate any feedback!

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, slack, computer · Missing: mac, agents, macos
97%97% 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
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
21%21% predicted probability of success on AppSumo, 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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