Tight Studio – impressive screen recordings made easy

Hacker News

Hi HN, I'm Ethan, founder of Tight Studio. (As Tuco said to Heisenberg - Tight tight tight) I'm excited to introducte Tight Studio 1.0 - the easiest way to prepare impressive screen recordings. Now publicly available at http://tight.studio/ . Tight Studio 1.0 features: * one-click smart captions - lots of people play video on social media without sound on. We greatly simplify this for you with one-click auto captions, filler words removal, and simple editing tools if needed. -> comparing to existing solutions, we allow you to generate captions much more easily and edit them easily if needed * smart auto zoom-in - without auto zoom-in, audience could lose details on what you are trying to highlight, this is especially true when you want to highlight small texts within a large screen * common video clipping and style customization tools to polish your screen recordings. We are also offering 50% early supporter discount for the first 100 subscribers, you will get 50% discount for lifetime for Tight Studio screen recorder! We are shipping quickly at tight quality, and we have much more to come on the roadmap. We would also love to incorporate any feature request you may have, please let me know!

Visit product View on Hacker NewsJul 31, 2025

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

76%76% 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: recordings · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

55%55% 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, way · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscribers · Missing: arr, mrr, revenue

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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