Agent Crop
Predictive AnalyticsAI-powered crop disease detection.
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not the category
Most people arrive knowing what they need done, not which category it lives in. 65 jobs grouped into 12 kinds of work. Pick the kind on the left, or search.
Tick Compare on any two to four cards to put them side by side.
AI-powered crop disease detection.
Build and verify formulas, run variance commentary — but FormulAI does not generate sample datasets.
GoDiary detects your workouts without user input, combining GPS and machine learning for autonomous tracking. Great for runners and cyclists.
Explore and share AI models, datasets.
CulturePulse AI analyzes team sentiment, provides actionable insights. Tracks trends over time.
Deploy AI models at sub-second cold starts, run them on any GPU. Perfect for rapid inference and training.
Search over 1,000 AI and data science jobs worldwide. Perfect for job seekers and recruiters alike.
Tet Drošība tika uzlabots, bet vispārējā vietnes ir būtama!
Unified access to LLMs via a single API.
Huntr is a bug bounty platform for AI/ML.
Get advanced deep learning education tailored to your data.
Suitable for researchers needing visual connections, unsuitable for keyword searchers.
Best for AI enthusiasts and developers, not suitable for beginners.
Zuro is a full-stack platform for designing and operating AI agents. Not great with simple analytics.
Daily AI predictions for top sports leagues.
Digitize your mind into a digital presence, always ready for conversation.
Secure AI data workflows in TEE environments.
AI platform that tunes in-app purchase pricing and ad timing to grow app and game revenue.
Get real-time token risk and contract intelligence without building scanner infrastructure.
AI-powered Jupyter Notebook for database and Excel automations.
Monitor and optimize your network performance in real time.
JIT.codes lets you experiment with AI models and build projects fast. It’s great for rapid prototyping.
AI-powered solutions for customs and trade facilitation.
Deliver measurable business value with enterprise-grade, reliable AI models.
Expert teams turn raw data into quality datasets.
Explore AI possibilities with a DIY guide, but limited to Indian shipping.
Build high-quality datasets for physical AI with Voxel51.
LocalAI runs AI models offline with zero setup.
Open-source AI gateway, tracks and caps LLM spend.
Ouro brings together data and ideas, but relies on AI agents for some tasks.
Free daily AI football predictions.
Optimize LLM spend and route requests to the right model, even air-gapped.
Lotto Chart claims to predict lottery numbers with AI, but its predictions are based on historical data alone.
Learn practical AI and machine learning with hands-on projects.
Turn questions into data insights, with SQL AI. Trusted by top teams.
AI-driven optimization for publishers looking to maximize yield.
Limited to six engagements per quarter.
Works best for tech startups and B2B SaaS companies, but lacks deep B2C insights.
BigML simplifies machine learning, offering a comprehensive platform for building models. It falls short on extensive customization.
Linq Alpha offers intelligent search for hedge funds.
Catches attitudes and emotions with AI
Online tool to count tokens in OpenAI prompts.
Unified AI platform for business teams.
Dimension Labs transforms customer conversations into structured analytics to explain your metrics movement, but it misses live chat and phone call data.
SymphonyAI builds AI agents for retail, finance, and industrial sectors. Great for compliance.
Solves various problems with AI.
Hebbia AI is a finance-focused AI platform.
CodeLogician extends LLM capabilities for software analysis.
Models, training data and machine learning.
Data scientists and ML engineers prepare data, train and evaluate models, run experiments and move working models into production. The tools here cover that pipeline: model hubs and libraries (HuggingFace), no-code and AutoML platforms (BigML, Lobe, Abacus.AI), GPU compute (Vast.ai, Lightning AI, Modal) and local LLM runners like LM Studio. Compare reproducibility and how easily you can export a trained model.
AutoML platforms such as BigML and Abacus.AI choose algorithms and tune settings for you, which is fast for standard tabular problems. Writing models yourself gives more control over features, architecture and evaluation. Many teams use AutoML for a baseline, then build custom models when it falls short.
Apps such as LM Studio download open models and run them on your own machine, so data stays local. You need enough memory for the model size you choose, and smaller quantised models trade some quality for speed. This suits private data and offline experiments.
Marketplaces and platforms such as Vast.ai, Lightning AI and Modal rent GPU time by usage instead of hardware ownership. Compare availability, startup time, storage and how they handle interrupted jobs. Keep checkpoints saved, since cheaper capacity can be taken away mid-run.