Alternatives
Products that do what Bliq – A meta-search engine for ride-hailing does
The problem we address: Platform monopolies in the ride-hailing space have led to users paying more for trips, while receiving a lower quality service. On the flip side, drivers often find themselves at the mercy of a single dominant platform, impacting their earnings and freedom of choice. So… we saw an opportunity to empower users. Technical solution: - built an internal API that interfaces with multiple platform APIs to fetch real-time ride data (for both passenger and driver personas) - built two apps: - for drivers: aggregated incoming offers in a single interface, custom…
- 1
- 2
- 3
- 4
- 5
- 6WM
Hey, HN! You probably know that the ordering of products on Amazon, posts in FB, and search results in Google is personalized for each visitor, as it directly affects conversion, click rate and engagement. But not everyone can afford to hire an army of PhDs to squeeze every penny out of the ranking, and not everyone agrees on the current (im)balance between privacy and profits. So we built Metarank, an open-source and privacy-focused personalization engine. It can rerank in real-time any type of content, using only the data you allow, and optimize metrics you define. We made a lot of…
2022 · github.com
- 7RT
2014 · whatsthefare.com
- 8HC
I created an app that compares real-time prices and wait times across Uber, Lyft, Waymo, Tesla Robotaxi, Curb, and Empower. It shows you all ride options in one list, then once you’re ready to book, it deeplinks you to the provider’s app with the route pre-filled. Edit: Here's a demo video: https://www.youtube.com/watch?v=VV8PEAjxwQI I reverse-engineered ride-hailing mobile apps to understand how they fetch prices from their servers. You sign in to my app with your ride-hailing accounts, and then my app requests live prices from the same APIs that ride-hailing apps use.…
Jul 2026 · hackney.app
- 9
- 10
- 11
- 12FA
Jul 2026 · ptrinh.github.io
- 13OA
2021 · optimule.com
- 14
- 15
- 16SA
Hi HN, I’m Tullie, founder of Shaped. Previously, I was a researcher at Meta AI, worked on ranking for Instagram Reels, and was a contributor to PyTorch Lightning. We built ShapedQL because we noticed that while retrieval (finding 1,000 items) has been commoditized by vector DBs, ranking (finding the best 10 items) is still an infrastructure problem. To build a decent for you feed or a RAG system with long-term memory, you usually have to put together a vector DB (Pinecone/Milvus), a feature store (Redis), an inference service, and thousands of lines of Python to handle business logic…
Jan 2026 · playground.shaped.ai
- 17LO
2017 · libretaxi.org
- 18WD
2023 · svmetasearch.eu.org
- 19AS
We built a search engine that shows you the most engaging stories/topics being shared across Twitter, Facebook, Linkedin, and Google+. We crawled over 15 million articles the past 3 months, retrieved the total number of Facebook likes, tweets, Google+’s etc and built a search index around it. Here's what our infrastructure looks like: Rails/Redis: We use the Sidekiq gem as a message queue. We have hundreds of workers that do the crawling, data mining, and number crunching. ElasticSearch: We built the search index using ElasticSearch, with the data imported from our Postgres…
2013 · buzzsumo.com
- 20
- 21
- 22
- 23
- 24
Ranked by how close each launch is in meaning, then by votes. Refine with a description →