Esco – Your Excel AI Agent

Hacker News

Launching Esco - Your Excel AI Agent Feeling stuck with the same old tasks on Excel or CSV files? Ever tried making a VBA macro and got lost because it was too tricky? Esco is here to help Esco is the first-ever AI agent that helps you automate those repeat Excel/CSV tasks without any excel formulas as Esco understands English. Here's what you can do with Esco: * Upload Excel sheets or CSVs and analyse them in English. * Do complex things like regression analysis and predictions without needing to code. * Save your steps/workflow and do them again with just one click in future. Esco is something special we've built using our own LLMops infrastructure. DM me if you are looking to create Esco like agents in your organisation. More info coming soon. Stay tuned.

Visit product View on Hacker NewsMar 22, 2024

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

71%71% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 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.

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

23%23% 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

17%17% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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