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ScreenAsk – Free Screen Recording Links for Customer Support

Hacker News

ScreenAsk – Free Screen Recording Links for Customer Support

Hey HN, My name is Brett and I'm excited to share ScreenAsk with you today! ScreenAsk makes it easy to collect screen recordings from your customers by simply sending a link. At my SaaS company, we spend hours every week teaching customers to record their screen to show us support issues. They have to sign up for a new tool, download and install it, create the recording, and then upload it somewhere to send it over… Most of the time spent on support wasn't fixing the issue but rather understanding it. I built ScreenAsk to solve this exact problem, making it simple to see what your customers see: - Send over your recording link - They follow a few easy steps to record their screen - You instantly see what they’re experiencing No sign up, no installing extra software, and no uploading to another service just to share. You can get notified via Email + Slack + Zapier + Webhooks when somebody records, and recordings include transcription + AI summaries for quick scanning. We also offer a widget that can be embedded in your site and is fully customizable + controllable with javascript. - Show / hide it when you want - Change colors and language - Listen for a recording and populate a form field with the viewing link - Add metadata like name, email, ID to the recording - Capture network and console I’d be grateful if you gave it a spin! You get 10 free recordings per month and a personalized recording link: https://screenask.com Launch tweet + demos + discussion: https://x.com/balindenberg/status/1981394673173205418

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Actual performance

22points
1comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% 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: slack, new, email · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist
65%65% 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
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
16%16% 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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