I made a super clean app to show clipboard, and I'm confused about sth.

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Hey HN, I'm developing a simple clipboard manager, and I am confused about choosing the position of its pop-up window. I think as a text input assistant, it should be positioned closest to the input location, so I used a lot of tricks to achieve this on Mac. You know, Mac has strict permission management. But when I spent a long time doing this, my clipboard history always showed up near the input cursor most of the time. I think it's pretty cool. But what confuses me is that users don't seem to appreciate it. I've heard some compliments, but not many. Here, I would like to hear everyone's opinions on whether displaying it at the text input location is the right choice? Here is a demonstration video of this feature: https://cleanclip.cc/videos/followcursornoshadow265.mp4 (PS: I know there are many other factors that may cause users not to buy it, but today I just want to understand the issue of the popup position.) Thanks, I hope to learn something here.

Visit product View on Hacker NewsDec 21, 2023

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

72%72% 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: mac, cursor, user · Missing: agents, macos, agent

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

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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