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Vertical sheet tabs for Excel (multi-row too)

Hacker News

Vertical sheet tabs for Excel (multi-row too)

I've created an Excel add-in that enables multi-row and vertical sheet-tabs in Excel: FormulaDesk Navigator Filter by color as well as custom tags. Why? Because Excel files with many sheets are a pain to work, endless scrolling to get to sheets... Current state: the public beta testing period is about to end. Is it useful to you? (I know, a bit late in the game to ask that, but please let me know if you have any suggestions or advice) Try it here: https://www.formuladesk.com/formuladesk-navigator/ Thanks, Gareth Hayter.

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1points
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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, 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: io · Missing: https docs, excited, just released
50%50% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% 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
18%18% 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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