Launch Intel
Or

Orb – See what your listening history says about your emotional state

Hacker News

Orb – See what your listening history says about your emotional state

I developed a web app that tracks your mood using your Spotify listening history. The idea came from a discussion with a friend about how listening to Radiohead and Duster made me feel sad. I built this app to prove him wrong (spoiler: according to orb, he was right). The app analyzes your last 15 songs on Spotify to determine the emotion associated with your listening session. You can keep track of these sessions, download an image to share with friends, or simply share a link to your session. You can also create a new playlist based on your mood/session and delete sessions as needed and see other data about your spotify account. Currently, you can save up to 5 sessions at a time. When you reach the limit, the oldest session will be deleted as you add a new one. You can try it here: https://feelorb.com/signup

Visit productView on Hacker NewsSep 25, 2024
Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, using · Missing: mac, agents, macos
68%68% 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
54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% 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, personal
36%36% 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
25%25% 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
22%22% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Claviqo
Claviqo79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Before you trade — see what history says.

Indie Hackers1analytics
Pa
Paul Graham Says37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Paul Graham Says

Hacker News2
Mo
MoodLens – Provide insights about your emotional state40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MoodLens – Provide insights about your emotional state

Hacker News1
Wh
What are you listening to?30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

What are you listening to?

Hacker News1
La
Last System State Before OOM49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Last System State Before OOM

Hacker News1
Vi
Visualise your Swiggy orders history44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visualise your Swiggy orders history

Hacker News1
A
A History of Sociobiology40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A History of Sociobiology

Hacker News2
Mi
Military History Visualized38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Military History Visualized

Hacker News6
HN
HN History – Your Hall of Fame46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN History – Your Hall of Fame

Hacker News1
Th
The state of state in the browser55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The state of state in the browser

Hacker News3
Browse all productsAnalyze your launch