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TickerBar – A Stock and Crypto Ticker App for macOS
Hacker NewsTickerBar – A Stock and Crypto Ticker App for macOS
Hi Hacker News, I’m excited to share TickerBar, a sleek and simple Stock & Crypto Ticker app for macOS, now available worldwide! Download TickerBar: https://itunes.apple.com/app/id6736996373 Support us on Product Hunt: https://www.producthunt.com/posts/tickerbar I’d love to hear your feedback or answer any questions. Thanks for checking it out!
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting85%85% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, hacker news, ide · Missing: https docs, just released, exist43%43% 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, intuitive41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, macos, apple · Missing: agents, agent, cursor34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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