#WATCH | A large number of farmers reach Shambhu Border (Punjab-Haryana border) ahead of their scheduled march to Delhi today. Visuals from Patiala (Punjab) side.
Met the Hon’ble Lok Sabha Speaker today along with MPs of the Opposition.
Our demand is simple: Parliament must have a detailed discussion on the brutality unleashed on students yesterday and on the government’s complete lack of accountability for the examination crisis.
Students were beaten for asking legitimate questions about their own future.
If Parliament cannot discuss the future of India’s youth, what is it for?
The Opposition will not let this be buried. We will ensure that the students’ voice will be heard on the streets, and in Parliament.
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.