xl

xllify turns prompts into Excel functions

Hacker News

xllify turns prompts into Excel functions

Maintaining large Excel workbooks is dull and thankless work. The situation can be can be somewhat improved with custom functions whose logic can be tested outside of Excel. Traditionally this has been a fairly advanced area with not a huge amount of adoption. xllify can create high performance .xll add-ins to extend Excel, all from prompting with requirements, existing formulas or VBA. The resulting add-in uses the C SDK for maximum performance: no Python, .NET or COM. I'd be glad of any thoughts!

Visit product View on Hacker NewsJan 30, 2026

Actual performance

2points

Did not reach leaderboard

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

68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

59%59% 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

45%45% 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

44%44% 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

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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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