Results for “data-science”

marimo

Reactive Python notebook stored as pure .py files: no hidden state, Git-friendly, SQL built in, deploys as apps or WASM.

Encord

Platform for labeling, organizing and quality-checking the images, video and sensor data used to train computer vision and robotics AI models.

Kili Technology

Data annotation platform built for organizations running many labeling projects at once across images, video, text, PDF and geospatial data.

Labelbox

Data platform for labeling, curating and generating human feedback to train and fine-tune AI models, including reinforcement learning workflows.

SuperAnnotate

Data annotation and evaluation platform that turns raw images, video, text and audio into labeled datasets for training and fine-tuning AI models.

Julius AI

AI you can just talk to about your spreadsheet — upload a file, ask a question in plain English, and get back a chart, a trend, or a forecast without writing a formula.

Powerdrill

A tool that lets you ask questions about your data in plain English and get an answer — like having an analyst on call who remembers your past questions and gets sharper over time.

Eureka DB

A searchable list of startup ideas that real people have already complained about wanting online — instead of brainstorming from scratch, you browse problems people are already asking for a solution to, with evidence attached.

ExploreYC

A free database and API that lets you query information about Y Combinator, a16z-backed, and Product Hunt startups programmatically, instead of manually digging through each company's own site.

Zerve

A data-science notebook where an AI agent already knows what's in your warehouse and remembers what your team learned last quarter, instead of starting from a blank cell every time.

DataGPT

Lets anyone on a business team ask a plain-English question about company data — like 'why did sales drop last week?' — and get a real, sourced answer without writing a line of SQL.

SciStudio

A free, open-source visual workspace for scientists that tries to bring together the scattered tools researchers normally juggle — notebooks, plotting, data pipelines — onto one collaborative canvas, instead of switching between five separate apps to go f

Autoplot

A Mac app for turning spreadsheets of numbers into publication-ready charts and figures — built for researchers and students who currently juggle a spreadsheet, a plotting script, and a separate export step just to get one clean graph for a paper.

Webhound

Does the tedious part of research for you — instead of spending days manually searching the web and copying results into a spreadsheet, you describe what you're looking for and it builds the dataset or report itself, with every fact linked back to its sou

AGI Ranker

A free leaderboard that blends 10 independent AI benchmarks into a single, transparent score so you can compare frontier AI models without wading through a dozen separate charts.

MinusX

Ask your business data a question in plain English and get back a real answer — a chart, a number, an explanation — instead of waiting for someone on the data team to write the SQL query.

ClariLayer

A shared memory layer that gives AI coding and analytics assistants persistent, correct knowledge of your data definitions — so 'active customer' means the same thing every time, in every tool.

PaperPulse

A personal newspaper delivery service for academic research — pick your keywords, and PaperPulse emails you a clean digest of new arXiv, PubMed, and bioRxiv papers that match, on your own schedule.

Crustdata

A real-time API for company and people data — sales, recruiting and investing teams query it directly, or plug it straight into Claude via MCP, instead of buying a static list that's already stale.

Q-Lab

A lab notebook for quantum computing teams that automatically logs every circuit run across IBM, IonQ and Amazon Braket, and predicts which provider will be cheapest before you submit the job.