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AI infrastructure

rex.fit

The DROP by Rex.Fit is an AI wearable camera that automates nutrition tracking using computer vision. It has garnered more than 93k USD in preorders (~450 units) since its launch last month. The nutrition estimation and recommendation tech behind the DROP is already integrated as an API for fitness chains, generating hundreds of thousands of dollars in yearly revenue for them. The DROP is built by brothers, sports nutritionists and computer vision engineers from the Swiss Federal Institute of Te

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #5193

The DROP by Rex.Fit is an AI wearable camera that automates nutrition tracking using computer vision. It has garnered more than 93k USD in preorders (~450 units) since its launch last month. The nutrition estimation and recommendation tech behind the DROP is already integrated as an API for fitness chains, generating hundreds of thousands of dollars in yearly revenue for them. The DROP is built by brothers, sports nutritionists and computer vision engineers from the Swiss Federal Institute of Te

source
generated read
High Signal interpretation

rex.fit is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
Fitfitness chainscomputer visionThe DROPThe DROP by Rexnutrition trackingAPInutrition estimation and recommendation techAI wearable camera
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to rex.fit

AI infrastructure · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Presto

match 71

Presto automates big chain restaurants like McDonald's, Starbucks, KFC, Chili's with a combination of Computer Vision, Voice AI, payments and advanced hw/sw solutions. We're obsessed with introducing next-gen tech to advance physical industries and delight consumers.

shared extracted concepts: computer vision; shared product terms: automate, chain, computer, vision; shared product theme: workflow automation; same category: AI infrastructure; shared affiliation: Y Combinator

Zinc

match 63

Zinc is building the programmable commerce layer for the internet. Our API already enables tens of thousands of transactions each month, and our goal is much bigger: a world where any purchase online can be automated and integrated through a simple API. As commerce shifts to automation, AI, and agents — the purchasing layer of the internet will become essential infrastructure — which is what we're building at Zinc.

shared extracted concepts: api; shared product terms: month, already, integrat, api; shared product theme: workflow automation, developer infrastructure; shared affiliation: Y Combinator

Miru

match 63

Miru makes it easy for robotics teams to manage, version, and deploy robot configurations. Developers use our well-documented APIs and UI components to automate configuration updates for both engineers and operators. In the long term, we're building software infrastructure to accelerate the automation of the physical world.

shared extracted concept terms: computer, vision; shared product terms: automate, engineer, computer, vision; shared product theme: workflow automation, developer infrastructure; shared affiliation: Y Combinator

Traces

match 60

We analyze thousands of video streams to find and track people without facial recognition. Our tech is available as an API and has multiple use cases. Unique people counting, forensic people search, falsa alarm filtering and many more.

shared extracted concepts: api; shared product terms: track, tech, api, thousand; shared product theme: developer infrastructure; shared affiliation: Y Combinator

Rebulk

match 53

Rebulk accurately measures and monitors bulk inventory like piles of feed, sand, and other assets that do not fit into boxes and barcodes using cameras, LiDAR, and computer vision. Most bulk inventory is still managed with rough estimates, manual checks, delayed updates, and too much guesswork. Because it lives in piles, bays, yards, and truck beds instead of boxes with barcodes, it is much harder to track accurately. When teams do not know what is actually on site, it leads to shrink, stockouts

shared extracted concepts: computer vision; shared product terms: fit, camera, computer, vision; shared affiliation: Y Combinator

Vision Anchor

match 40

VisionAnchor has developed the world's first smart anchoring system that actually tracks the anchor and sends a data feed to the boat. This makes anchoring faster and safer saving the owners hundreds of thousands of USD in damages or fines.

shared product terms: track, hundred, thousand, usd