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@HeyResearch https://t.co/c0sEszf5eg
Hi HeyResearch team
I saw these guy thread and video about what you are building and am really super impressed with the way it split down, Can UK builder join too?
๐งต ๐๐ก๐ซ๐๐๐: Robinhood Chain has two timelines.
One is impossible to ignore.
๐ Token prices moving every second.
๐ฐ Trading volumes climbing.
๐ New launches attracting attention.
๐ฅ Projects suddenly trending across CT.
But there's another timeline most people barely notice.
Developers pushing code.
Teams deploying contracts.
Founders releasing actual products.
Projects quietly improving their infrastructure.
And here's the interesting part.
A project can be making real progress while almost nobody is paying attention to it.
Meanwhile, another project could dominate market conversations without showing the same level of development activity.
So how do you separate attention from actual building?
That's the question @HeyResearch is trying to answer.
Through HEY Research Discovery and its new Research Terminal, it's building a public research system that helps people understand what's happening behind projects on Robinhood Chain.
I spent time studying the product, its methodology, and how the two research tools connect.
Here's why I think the second timeline deserves just as much attention as the first. ๐
๐งต ๐๐ก๐ซ๐๐๐ + ๐ฝ ๐๐ข๐๐๐จ: What if you could photograph the food on your plate and get an estimate of the calories, protein, carbohydrates and fats hiding in plain sight?
I decided to test that idea with three real foods I cook and I used @EmoryaApp AI Food Scan to examine all three.
๐ ๐๐ ๐บ๐๐พ ๐๐ฟ ๐๐๐๐ฝ๐พ๐๐พ๐ฝ ๐๐บ๐ ๐๐๐๐ ๐๐๐๐บ๐๐ ๐ป๐บ๐๐พ๐ฝ ๐๐๐พ๐ ๐บ๐๐ฝ ๐๐พ๐บ๐.
๐ ๐ผ๐๐พ๐บ๐๐ ๐๐๐๐๐๐ ๐ผ๐๐.
๐ ๐๐ฝ ๐๐๐ผ๐พ ๐๐๐๐ ๐บ ๐๐๐๐ผ๐ ๐๐๐๐๐๐๐.
The estimates came back at 685 kcal, 180 kcal and 485 kcal, respectively.
Same camera. Three different foods. Three different nutritional profiles.
As someone who goes to the gym, I was interested in something beyond the calorie figures: whether a simple scan could help me understand my food choices without turning everyday eating into a complicated calculation.
I recorded the original foods, the app walkthrough and the scan results so you can follow the experiment yourself.
This thread covers what happened, what the numbers actually mean, and where Emorya's wider fitness and rewards system fits in.
๐ณ๐๐๐พ๐พ ๐๐ ๐บ๐๐พ๐. ๐ฎ๐๐พ ๐ป๐๐๐๐พ๐ ๐๐๐ผ๐๐๐๐พ. ๐
#emoryafoodscan
๐งต ๐๐ก๐ซ๐๐๐ + ๐ฝ ๐๐ข๐๐๐จ: What if you could photograph the food on your plate and get an estimate of the calories, protein, carbohydrates and fats hiding in plain sight?
I decided to test that idea with three real foods I cook and I used @EmoryaApp AI Food Scan to examine all three.
๐ ๐๐ ๐บ๐๐พ ๐๐ฟ ๐๐๐๐ฝ๐พ๐๐พ๐ฝ ๐๐บ๐ ๐๐๐๐ ๐๐๐๐บ๐๐ ๐ป๐บ๐๐พ๐ฝ ๐๐๐พ๐ ๐บ๐๐ฝ ๐๐พ๐บ๐.
๐ ๐ผ๐๐พ๐บ๐๐ ๐๐๐๐๐๐ ๐ผ๐๐.
๐ ๐๐ฝ ๐๐๐ผ๐พ ๐๐๐๐ ๐บ ๐๐๐๐ผ๐ ๐๐๐๐๐๐๐.
The estimates came back at 685 kcal, 180 kcal and 485 kcal, respectively.
Same camera. Three different foods. Three different nutritional profiles.
As someone who goes to the gym, I was interested in something beyond the calorie figures: whether a simple scan could help me understand my food choices without turning everyday eating into a complicated calculation.
I recorded the original foods, the app walkthrough and the scan results so you can follow the experiment yourself.
This thread covers what happened, what the numbers actually mean, and where Emorya's wider fitness and rewards system fits in.
๐ณ๐๐๐พ๐พ ๐๐ ๐บ๐๐พ๐. ๐ฎ๐๐พ ๐ป๐๐๐๐พ๐ ๐๐๐ผ๐๐๐๐พ. ๐
#emoryafoodscan
Just shipped Dnipro
A universal yield adapter layer for Solana one integration for multiple yield routes.
Live Devnet USDC routing, real deposits/withdrawals, Dispatcher and Registry architecture.
Built for @SuperteamUK + Colosseum.
https://t.co/yQ2USfBaX4
Just shipped Dnipro
A universal yield adapter layer for Solana one integration for multiple yield routes.
Live Devnet USDC routing, real deposits/withdrawals, Dispatcher and Registry architecture.
Built for @SuperteamUK + Colosseum.
https://t.co/yQ2USfBaX4