dmitrysergeyev
Joined 6 years ago
Karma
165
Submissions
13
Member since
Apr 15
Recent submissions
Comment · 1 year ago
Comment · 1 year ago
Building (https://estan.ai), an AI that reverse-engineers real estate listings by pulling not just from public records, but also social media, neighborhood forums, historical sales, and user reviews. It flags red flags—like crime trends, sketchy development patterns, neighborhood trends, and so on—then presents them in plain, opinionated language.
Goal: replace the vague boilerplate of listings with something closer to a paranoid friend who's done way too much research. Curious if this kind of subjective, context-heavy analysis adds real value—or just noise.
Comment · 1 year ago
NYC subway tap-to-pay via Apple Pay is also instant. Like, actually, instant (<500ms)
Comment · 2 years ago
Comment · 2 years ago
Isn’t a better solution for the given distance - rail transport? It’s more affordable, ecological and can serve higher number of people from different economical layers. This seems more like an enthusiast toy rather than an alternative for 50-300 miles travel options.
Comment · 2 years ago
chance*
Comment · 2 years ago
It would be nice if the study checked whether the higher amount of individuals in the cancer group got their tattoos AFTER they got diagnosed. This may be the case if people are more open to take risky actions following such diagnoses. It would explain why the size of the tattoo didn’t correlate with change of getting cancer. Such conclusion will ultimately disprove the causation.
Comment · 2 years ago
Wow, thanks for letting me know! I've just fixed the problem thanks to your bug report.
Comment · 2 years ago
I was tired of the need to scroll through dozens of blogs and RSS feeds to learn about technologies and industry news, so I’ve built a service that helps you learn and stay updated about any topic by sending a single fully personalized weekly email digest, making relevant information come to you, instead of you chasing it (push vs pull):
It’s basically an LLM-based RAG that works over the best blogs and websites covering any topic you provided during onboarding.
Comment · 3 years ago
There’s a nice government’s map that demonstrates potential impact of the various quake scenarios in Seattle: https://experience.arcgis.com/experience/2acb05d732134331bc0...
An interesting observation is that Cascadia Subduction Zone is potentially less devastating than Seattle Fault despite being capable of a 100x bigger magnitude (9+ vs 7.2) thanks to a longer distance from the city
Comment · 3 years ago
They could in theory combat it by comparing results with a second crawler that uses a different User Agent.
Peekly pulls from high-quality sources using LLM + retrieval, then sends you a regular digest with just the most relevant content according to your interests. You can even give it custom prompts to control what it finds and how it summarizes — super useful if you want a particular angle on a topic.
YC folks can use code YC256 for an extra free month (on top of the 14-day trial). Would love to hear what you think!
[0] https://peekly.ai/