Late one night, a woman gets on a call with Wave. Wave describes a man to her.
His likes, his dislikes, what lights him up. What he struggles with. What he thinks he brings to a relationship. His journey, his personhood.
She can't see him. But she can feel him take shape.
This is how Wavelength works now. You hear about the person first. Photos come later.
Since the flip, ~75% of women say yes, up from ~35%. On July 10, ~85% opted in. They say yes not just out of curiosity for the picture, but because they resonated with something they couldn't see.
Here's how this came to be.
Like most young apps, we're buggy. And a series of fortunate bugs led to this feature.
1. In March, Wavelength glitched and an early user couldn't see photos of her recommendation. She opted in anyway. She liked how his personality sounded, and that was enough.
2. Around launch, a user called us out on X. Wave pitched him his dream partner in vivid detail. Except she didn't exist. A hallucination. He was angry, rightly so. But a description alone, no face attached, moved him enough to feel genuinely let down.
3. Days ago, a tester hit another photo bug. Two recommendations, zero pictures. He said yes to one because the description clicked. No to the other because it didn't.
We realised: people make real decisions about people without seeing them first. So we flipped the table.
Earlier, we showed text profiles with pictures, like every app does. And whatever anyone claims, most people shortlist on looks.
Now Wave describes your match the way a friend would. What they're like, what they want, why you two might work. You opt in based on that. Photos and chat come after. If the conversation isn't there, or you don't like their look, you opt out. Simple.
It's always worked this way offline. When a friend pitches you someone, the description does the talking. The photo comes later, as confirmation. Your local Seema Aunty runs on the same principle.
Attraction still matters. We're just changing what gets the first word.
Hearing about someone before seeing them builds curiosity. By the reveal, you're already invested in who they are.
Women largely call the shots in dating. When they lean in, everything downstream moves. And it has: mutual match rates have shot up too.
Opting in means saying yes to who someone is. Being opted for means knowing what you were picked for. Both arrive with intention. And intention is the seed of lasting love.
Another shift: men with real spikes (odd hobbies, strong opinions, non-linear careers) get discovered by women who'd have scrolled past their photos. Men losing the copywriting contest that is a dating profile finally get pitched right.
We started Wavelength because people felt reduced by their profiles. Now I'm watching it make someone feel bigger than their photos.
I don't know if this holds at scale. Early numbers can humble you.
But if we break on you sometime, be patient. Who knows what that could lead to.
we set up 1,000+ couples over the last few months,
and the biggest thing we learned is finding the match is just 10% of the job. the other 90% is everything after.
is he actually interested or just being nice. am i being too picky or is this an actual dealbreaker. what was that weird feeling after the date i can't explain. the things you text three friends to get an answer.
nobody built for that part. so wave became that person.
wave helps you find someone, then actually stays. she helps you reflect, get clarity, and work through the messy 90% no one talks about.
we were never meant to do this part alone.
wave is live today. link in comments.
@tata_neu I need to reschedule a flight booked on 25 Feb, but the reschedule option in the app is not working. The chatbot redirects me back to the app, and the customer care number is unreachable. This is very frustrating. Please assist urgently.
Published article on ACID Properties.
Not just theory but also practical implementation using PostgreSQL with real-world examples.
This blog is perfect for beginners who want to start learning about Databases, and it is also a prerequisite for my PostgreSQL Internals series.
Link: https://t.co/X4x4haYiYO
The way startups are built has shifted quickly.
We're excited about a range of startup ideas for AI-native companies that can now be built faster, cheaper, and with more ambition than ever.
https://t.co/Ms3Vn5Vq7q
Many who are learning golang for the first time are asking me for some resources related to learning interfaces
Here is a article from my golang's vault which would help y'all
https://t.co/sWBBp93zxL
Some authentic open-source programs:
For long-term structured open source:
> Google Summer of Code – $3,000 (medium) / $6,000 (large project)
> Code for GovTech (C4GT) – ₹1,00,000 to ₹1,25,000
> Outreachy – $7,000 total
> Linux Foundation Mentorship (LFX) – $3,000
Crypto / blockchain focused
> Summer of Bitcoin (SoB) – $6,000
> Ethereum Foundation grants – varies (no fixed stipend)
Students friendly:
> MLH Fellowship – $5,000
> Hacktoberfest – no stipend (swag only)
> Season of Docs – $5,000–$15,000 (paid to org / writer via org)
Foundation backed:
> CNCF mentorships (via LFX) – $3,000
> Apache Software Foundation programs – money depends on program
> Mozilla programs – varies (some paid)
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