L&T Thanisandra
L&T Thanisandra New Residential Project.
What it does
Explore L&T Thanisandra luxury residential project on Thanisandra Main Road, Bangalore. Premium 3, 4 & 5 BHK apartments near Manyata Tech Park. Book a site visit today.
Nestled in one of Bangalore's most dynamic growth corridors, L&T Thanisandra is a landmark residential development that redefines what premium urban living means in North Bangalore. Designed for the discerning homebuyer and forward-thinking investor, this project on Thanisandra Main Road brings together impeccable engineering, world-class amenities, and a location that connects you to everything that matters. Developed by L&T Realty — the real estate arm of Larsen & Toubro Limited, India's most respected conglomerate — this project carries the same DNA of precision, quality, and long-term value that has defined L&T's 85-year legacy. From highways and metro infrastructure to power plants and…from lntrealtythanisandra.com
Does the same job
all alternatives →
More dev tools this month
the category →
Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com