Scribble/write on your desktop, with any phone/tablet

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Scribble/write on your desktop, with any phone/tablet - I'd like your feedback. Expressed is a way to make it easy to draw directly on your desktop using any phone or tablet - think along the lines of "I want to draw (on my screen) to help aid my discussion". The desktop is projected onto the phone/tablet, so you can actually see what you're about to scribble over - pinch/zoom and various tools provide the typical/expected drawing tools - and whatever you scribble is seen on the desktop. If you wanted to try (link to m/soft store): https://apps.microsoft.com/detail/9N694D0PN6GB?cid=hn01 I've often wanted to scribble in code reviews, brainstorming/ideation - so figured, now that AI makes coding a little easier (cough cough); I'll turn that idea into a product. It took me (part time) about 7 months from initial idea, through validation, writing the product, loads of wrong turns (there are monsters in some of those branches, branches? heck that's a FOREST), etc etc to get where it is today - typical story of development I suppose. Networking isn't an issue - cos everything runs via secure relays; scan a QR code on a tablet to join. I'm open to feedback, critique & questions - I'd love it if you let me know if you tried it, found it useful, it crashed or you were surprised by something - I can be reached at john@effective-flow.com or Discord ( https://discord.gg/5MJbjzGQa )

Visit product View on Hacker NewsAug 26, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using, coding · Missing: mac, agents, macos

86%86% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: code review, ide, io · Missing: https docs, excited, just released

46%46% 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: reviews · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, month, way · Missing: mobile apps, ios, personal

31%31% 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

19%19% 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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