Jithin Gopakumar

[turbomander @turbomander]

listen up: life's a broth, okay? but at the end of the day, its up to you if its gonna be soup-er...or stew-pid.

[Fredrik @F_Edits]

🇳🇱 WEGHORST (8) is the longest surname out of all 1248 World Cup players that doesn't intersect itself on an alphabet circle

[Sid @siddocode]

Who names a fingerprint reading machine Eklavya??😭😭

[Ramin Nasibov @RaminNasibov]

Each circle has a different story

[Felix Josemon @Felix_Josemon]

While Kerala is busy celebrating the election results, one question is worth asking.

How many more years will we continue to complain about the same potholes, garbage piles, and broken streetlights without any real accountability?

We all have seen people sharing videos of broken roads and potholes. Journalists and Media houses are doing special presentations on TV, yet nothing changes.

The complaints stay loud for a few days and disappear.

Muhammed Roshan P S just changed that.

He built ParathiPetty (പരാതിപ്പെട്ടി), a live online public complaint box that runs entirely on WhatsApp.

You spot a civic problem, such as a pothole, a garbage pile, a broken streetlight, or a waterlogged road. You click a photo and send the location.

ParathiPetty classifies the issue and pins it on a public map, and shows live district-wise civic issue trends on a leaderboard.

No app. No signup. Phone numbers hidden. Only verified reports go public.

He has turned individual complaints into a permanent, public, searchable civic map, giving ordinary people the power to raise issues in a way that local politicians and officials cannot overlook.

My biggest takeaway?
->This isn’t just another complaint tool.
->This is accountability infrastructure.

This is the kind of grounded, practical innovation we celebrate at Kerala Product Hunt.

Huge respect to Roshan for not just talking about problems, but building a system that forces them to be addressed.

Try it here: https://t.co/hdwimwvuff

Would love to hear your thoughts below on how tools like ParathiPetty can help drive meaningful accountability in our communities.

[Rahul Sanghi @RahulSanghi1]

For the last three years, a startup in Bangalore has been obsessed with a pursuit that typically invites raised eyebrows, naked skepticism, and accusations of stealing from sci-fi:

@dognosis is training dogs to detect cancer.

And until you've spent time at their facility - a former pomegranate farm in the outskirts of Bangalore - perhaps skepticism is the rational response.

But Dognosis isn't betting on some pie-in-the-sky idea or some charming novelty act, they're betting on evolution.

@akadogluk and @Itamar_Bitan based their company on the fact that the dog's nose - a product of fifteen millennia of co-evolution with humans - can detect the faint chemical trace of cancer in your breath at a resolution that our machines, algorithms, and laboratory tests have never come close to matching.

We've known this fact for decades. We've consistently failed to do anything meaningful with that knowledge.

The missing link has been figuring out what the dog's nose knows, and applying it in a standardised, scalable, and clinically validated way.

Dognosis is building this missing piece of the equation i.e. the translation layer that allows the dog's nose to speak a language medicine can understand, enabling us to harness an ancient biological intelligence and plug it into our modern medical infrastructure.

Maybe you've read the paragraphs above and retained your skepticism. That's fair. But this past Friday, the Journal of Clinical Oncology - the world's most influential cancer journal - opted to make life much harder for the skeptics.

On Friday, the JCO published Dognosis' landmark study on breath-based multi-cancer detection - the largest of its kind ever conducted - showing that a team of trained dogs, equipped with sensors and AI, could detect multiple cancers from breath alone at 90%+ accuracy - including at Stage I, when it matters most - for $2 a test.

According to Akash, it proved "that everything we’ve known about the dogs is true".

Needless to say, it's a genuine milestone for Indian healthcare, health-tech, deep-tech, and, uh, dog-tech, that deserves far more attention than it's gotten so far.

To help change that, we were lucky to have Akash stop by the Tigerfeathers editorial desk this past week to unpack the Dognosis journey - helping us understand what they're building, how they're doing it, why it matters, and what comes next.

From where we're sitting, Dognosis is an n-of-1 Indian startup with an n-of-1 story that everyone in the Indian tech ecosystem should be aware of. If you've been intrigued by what you've read so far and you're keen to go deeper, dive into our piece here👇

https://t.co/limlGrgxJ1

[Gabriel @gabriel_horwitz]

You open ChatGPT. You type the question. A clean, structured answer comes back in three seconds. You read it, it makes sense, you move on. You feel like you learned something.

Forty-five days later, a professor walks in and hands you a test you weren't expecting. You don't remember most of it.

André Barcaui at the Federal University of Rio de Janeiro ran the experiment to find out if the feeling was accurate. 120 undergraduate business students, ages 18 to 24. All told to spend two weeks researching AI concepts, ethics, societal impacts, technical foundations, and prepare a 10-minute presentation.

Sixty used ChatGPT freely. Sixty used textbooks, library databases, articles, and standard web search. Then, 45 days later, with no warning, a retention test.

The ChatGPT group scored 57.5%. The traditional group scored 68.5%. Cohen's d was 0.68, a medium-to-large effect. In most grading systems, that's the difference between passing and failing.

This is called cognitive offloading. When your brain delegates thinking to an external tool, it reduces the mental effort required during encoding. Effort is what makes memories durable. Struggling to find, synthesize, and connect information is not an inefficiency in the learning process. It is the learning process. ChatGPT removes the struggle and takes the encoding with it.

Barcaui calls what the AI group experienced "borrowed competence." The answer was structured, the vocabulary was right, the reasoning felt sound. It just wasn't theirs. And 45 days later, it was gone.

The AI group's forgetting curve was steeper and didn't stabilize the way the traditional group's did. The memories weren't just smaller. They were more fragile from the start.

You didn't learn it. You borrowed it.

[Incentivising @incentivising]

Game theory explains why working harder inside a broken system is the worst response to that system. Because a system is never truly broken. It's just producing exactly the outcomes its own incentive structures were designed to produce, whether intentional or not. Working harder inside this system increases your output in the payoff matrix, but it simply won't change the actual structure of the system's matrix. Thus, the correct response is not more effort. Instead, you must aim to identify whose interests the current structure serves and position yourself in favor of those interests rather than against them. Change the game, or play the game that is actually being played. Either way, you must stop optimizing for the game you wish it to be and start acting realistically.

[jameson (big deck energy) @jamesonhaslam]

perfect time to deploy my all time favorite meme

[Ramin Nasibov @RaminNasibov]

I used Nero to burn CDs as a kid and only later got the joke: Nero burned Rome, and "Burning ROM" is such a perfect reference.

[Polymarket @Polymarket]

BREAKING: Artemis II crew becomes the first humans to see a full crescent Earth since 1972.

[NASA @NASA]

We see our home planet as a whole, lit up in spectacular blues and browns. A green aurora even lights up the atmosphere. That's us, together, watching as our astronauts make their journey to the Moon.

[NASA @NASA]

Good morning, world! 🌎

We have spectacular new high-resolution images of our home planet, all of us looking back through the Orion capsule window at our Artemis II astronauts as they continue their journey to the Moon.

[Polymarket @Polymarket]

JUST IN: Artemis II crew experiences issues with Microsoft Outlook on their way to the Moon, asks ground crew for assistance.

[rosenkav @rosenkav_]

It's her day 💗

[Cyril 🏴󠁧󠁢󠁥󠁮󠁧󠁿⚽️ @CyrilH44]

Timothée losing was worth it for this edit.

[Anish Moonka @anishmoonka]

Every time you get a cancer biopsy, the lab makes a tissue slide that costs about $5. It shows the shape of your cells under a microscope, and every cancer patient already has one on file.

There’s a much fancier version of that test called multiplex immunofluorescence (basically a protein-level map showing which immune cells are near your tumor and what they’re doing). It costs thousands of dollars per sample, takes specialized equipment most hospitals don’t have, and barely scales. But it’s the kind of data oncologists need to figure out whether immunotherapy will actually work for you. Right now, only about 20 to 40% of cancer patients respond to immunotherapy, and one of the biggest reasons is that doctors can’t easily tell whether a tumor is “hot” (immune cells actively fighting it) or “cold” (immune system ignoring it).

Microsoft, Providence Health, and the University of Washington trained an AI to analyze the $5 slide and predict what the expensive test would show across 21 different protein markers. They called it GigaTIME, trained it on 40 million cells in which both the cheap slide and the expensive test coexisted, and then turned it loose on 14,256 real cancer patients across 51 hospitals in 7 US states.

The results landed in Cell, one of the most selective journals in biology. The model generated about 300,000 virtual protein maps covering 24 cancer types and 306 subtypes. It found 1,234 real, verified connections between immune cell behavior, genetic mutations, tumor staging, and patient survival that were previously invisible at this scale. When they tested it against a completely separate database of 10,200 cancer patients, the results matched up almost perfectly (0.88 out of 1.0 agreement).

Nature Methods named spatial proteomics (mapping where specific proteins sit inside your tissue) its Method of the Year in 2024, and specifically cited GigaTIME in a March 2026 update as a model that “democratizes” this kind of analysis. The full model is open-source on Hugging Face. Any cancer research lab with archived biopsy slides, and most of them have thousands, can now run virtual immune profiling without buying a single piece of new equipment.

[Oliver Prompts @oliviscusAI]

🚨 BREAKING: Someone just open-sourced software that sees you through walls using only WIFI signals.

it’s called WiFi-DensePose. It maps your exact body pose in real-time. no cameras. no sensors. just your living room router.

100% Open Source.

[Sophia ❣️ @KeruboSk]

Arabic is a beast to learn but the fact that the phrase “good night” translates to “may you wake up to good news” is unbeatable.l

[Rilwan @Real1_balogun]

“A few months after I moved to Paris, two of my friends from Diadema came to spend some time with me there. They had broken up with their wife and girlfriend and were sad, so I invited them, hoping the visit would help clear their minds. Great.

“They soon met other Brazilians, who played for a team like the seventh-division amateur league in the suburbs of Paris — all immigrants without proper papers.

“Every night, my two friends came home angry, complaining that they were constantly beaten up. So, I said: “I’ll go over there tomorrow to watch you play.” And I did.

“I arrived wearing a ninja hat, half disguised, and watched. The opponents were all dressed up, with their uniforms, equipment, water bottles, and a coach. And my friends’ team was wearing nothing: one in white shorts, another in purple, a third in yellow. The guys were hanging from the goalposts to warm up…. It was a mess.
At the end of the match, which they lost, I asked:

“Do you want me to train the team?”
I’ll never forget the guys’ smiles. They were so genuinely happy and excited, something I had only seen when I was a kid, when we would fly kites in Diadema.
I started training the guys every Monday, from 10 to midnight. Sometimes I would train them on Monday and play a Champions League match on Tuesday. I even remember scoring a goal against Barcelona on one of those days. I started loving Mondays. I couldn’t wait to be with those guys. We talked, I listened a lot, and I got to know each one’s stories and struggles.

“Some made money playing capoeira, others delivering items on motorbikes or washing dishes. All of them had a hard life, afraid because of their illegal status, with little hope that things would improve, but football brightened up and took the weight off their days.
On my first holidays, I went back to Brazil and went to talk to the ultimate crazy woman, my mother:
“Mum, can you make stuff for the boys there?”

“Say no more! She made travel polo shirts, tracksuits, match uniforms, training uniforms, everything in sizes S, M, L, XL….
I went back to Paris with 21 suitcases. The guys’ dedication grew along with their joy. We started training twice a week, then three times. We got promoted, and at the end of the season, I had a crazy idea. Another one. “I’m going to throw a gala for the team, just like PSG does for us every year.” I rented a castle-like nightclub where Matuidi had thrown his birthday party and started producing ours.

“I had already hired a guy who used to film for PSG to film our guys’ matches, too. I asked him to bring all the videos to my house so we could watch them and choose the best goals of the year, the top scorer, the goalkeeper’s best saves. Let’s show them on the big screen! Then I ordered trophies for the winners of each category. Hey, but what about the others? Plaques! We’re going to make little wooden-and-acrylic plaques with each one’s name on them. Everything was perfect. The day before, I called the guys together:

“Do you have a white button-up shirt and a basic black coat for tomorrow’s party?”
Nobody had one. OK, I will buy you some.
I went to the store myself and got some. Then I thought about their girlfriends and wives. I called the group again and gave each one some pocket money so that their SOs could buy a dress if they wanted.
The party night arrived.

And if I told you it was incredible, one of the most extraordinary emotional moments of my life, as cool as winning the Champions League, would you believe me?”

One of my best stories on @TPTFootball

https://t.co/G8uHnpcqbx