Ki

Kili is AI agent that automates admin tasks over email

Hacker News

Kili is AI agent that automates admin tasks over email

Hey everyone, We're excited to launch Kili: an AI agent that helps businesses automate admin tasks like invoicing, managing suppliers, paying bills and filing expenses. Given current AI capabilities, we believe email is an under explored interface. It allows us to complete work async and not have to learn a new interface. Our general philosophy with Kili is to enable every action over email, and only take the user to the web app when absolutely needed. Kili can do all of the below over email today: - Create draft invoices - Add / approve new suppliers - Process bills from suppliers - File expenses We'll be adding many more actions over the coming weeks. You can try Kili here: https://heykili.com . We would love your feedback on the approach and the product.

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, user, new · Missing: mac, agents, macos
91%91% 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
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist
52%52% 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 · Strong signals: interface · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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