In

Intents – Get linked with people that see what you see

Hacker News

Intents – Get linked with people that see what you see

Hi everyone, I'm working on a new paradigm of a social network, that uses visual searches to link groups of people who are interested, inspired and connected to what they're looking at. I mean, you just take a picture and Intents show you communities of people (I would love to call them "Tribes"), who've taken a correlated picture. And of course you can interact with them. Here the link http://www.intents.me My vision is to connect people with the same intents, now with a simple picture (analysed with AI/CV algorithms) and in the future, I would add a JS framework (chrome extension?) that also connect online people who are browsing websites correlated with the images. Example: Online shoppers looking for a cool Nike sneaker connected with influencers and people who've taken a picture of those shoes. Does this make sense? What do you think about it? I'm looking forward to hearing your feedback. Best, Matteo

Share card

Actual performance

2points
3comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, visual · Missing: mac, agents, macos
57%57% 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: para · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
45%45% 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
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · 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

Similar products

Fa
Famous people who have died by overdose58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Famous people who have died by overdose

Hacker News1
St
StreetPass – Find your people on Mastodon55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

StreetPass – Find your people on Mastodon

Hacker News1
Wh
What if 1k people drew together?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

What if 1k people drew together?

Hacker News2
Fi
Find people researching areas similar to you (HuggingFace)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find people researching areas similar to you (HuggingFace)

Hacker News2
Tw
Tweetpleth - Where are people tweeting?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tweetpleth - Where are people tweeting?

Hacker News1
DBCULT - Cult Cinema
DBCULT - Cult Cinema39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

For people obsessed with cult cinema.

Indie Hackers1ai
easyLife
easyLife32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

By the People, For the People

Indie Hackerscommitment-side-project
Synchrony
Synchrony31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find your people with Synchrony.

Indie Hackersplatform-android
My Rasoi
My Rasoi42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Made for the people who serve people.

Product Hunt+6
PressHop
PressHop32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

News by the people, for the people

Product Hunt+7