Pulse – Livestream audio with 1-click

Hacker News

Hi HN. I needed something to feel closer to someone who lives VERY far from me, and since we both like music and share with each other all time.. I thought of creating a way to effortlessly livestream what we are listening to, with sound-reactive visualizations (more to come) and a fun chat. The idea is that as you go on with building or with your wfh job (hopefully as little calls as possible)... you are effectively tuned in the other person's selection instead of your own same old Liked Songs... or what some algo thinks you'll like (or wants you to like). Current features * You can host your own room and stream audio (currently browser tab, adding BUTT upload later, maybe) * Change website color / animation / animation style * Chat with gifs (add any by dropping a 7tv.app link) My friend and I built this with Cursor ("vibe" isn't the adjective I'd use for the experience... but I guess it got the job done faster than if we didn't use it). Any feedback or tips to make it better appreciated!!

Visit product View on Hacker NewsMar 25, 2025

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5points

8comments

Did not reach leaderboard

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, visual · Missing: mac, agents, macos

84%84% 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 · Strong signals: songs · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: host, calls · Missing: plus, platform, intuitive

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, 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

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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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