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OfficePlan – Annotate Floorplans and Create Seating Arrangements

Hacker News

OfficePlan – Annotate Floorplans and Create Seating Arrangements

Hello HN, I've just launched OfficePlan, a tool to help office experience managers plan their return to office. With OfficePlan, you can annotate your existing architectural floorplan images and create visually pleasing seating arrangements. The application enables you to color code desk labels to show which groups of desks your teams sit at. It’s a practical and simple solution to what can often be a complex task. Moreover, OfficePlan integrates seamlessly with Google Drive, making it easier than ever to create, edit, and share your annotated seating plans. You can also export your layout as a PNG image. I'd love to hear your feedback and suggestions. Try OfficePlan today!

Visit productView on Hacker NewsMay 22, 2023
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
93%93% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, visual, code · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released
60%60% 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 · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
12%12% 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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