Sommelier, an Excel Addin for your agent

Hacker News

Sommelier (there is a nice wordplay on Excel and pairing) is an Excel Addin + relay server that lets your agent work hand in hand with you while you're working on an Excel spreadsheet. It's heavily inspired by the excellent marimo pair. It's useful when you either don't want to use Microsoft Copilot, want to use a local model + harness for security reason, or want to use an agent that already has access to personal data. I've tested it with some harnesses (pi, opencode, codex) but I guess that it should work on many others. Not having a Microsoft developer account, I've yet to publish it to the marketplace, but it's sideloadable. While the first prototype was written by me, I've only kept the core and let an LLM rewrite the code.

Visit product View on Hacker NewsSep 21, 2026

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

96%96% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

76%76% 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: personal · Missing: mobile apps, ios, entrepreneurs

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

18%18% 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

15%15% 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.

Incorrect prediction on native model

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