RadioSide turns your spare device into a radio

Hacker News

Hi, as a shortwave radio listener, I felt as time goes by, the shortwave is becoming more and more empty yet I do enjoy the discovery of new stations and so on. On top of that, all the EM noise generated by all the electronics is not helping either. The typical internet radio site/app does not give me the same feeling I get from my physical radios in terms of operation and stumbling upon some interesting station (radio.garden does help but not looking like a radio) so I got to make my own that combines the looks and operation of a shortwave radio with the availability of internet radio stations. One aspect was to create this sort of virtual frequency allocation for the stations, that way you can key in the number and takes you to the station. Been using this and enjoying particularly the random feature as I come about some pretty nice stations that I had no idea existed and would not have thought of searching for specifically. It's free, no tracking and no app to install, it works in the browser. The presets are saved only on your device using local storage. What, when, where you listen to is none of my business. Good to repurpose some of your spare devices, perhaps? Hope someone else enjoys this as much as I do! https://radioside.com/info/

Visit product View on Hacker NewsFeb 23, 2024

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6points

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Did not reach leaderboard

Launch Intel predictions

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

69%69% 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: ios · Missing: supports, reddit linkedin, podcasting

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% 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 · Missing: arr, mrr, revenue

11%11% 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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