SELECTION GUIDES
Topics
Focused collections for building AI applications. Each topic explains what to compare before adding another tool to your stack.
- topics
- 11
- products covered
- 107
- comparisons & guides
- 12
Coding agents & editors
Explore Codex, Claude Code, Cursor, GitHub Copilot and Gemini CLI by development workflow.
9 projects · A selection guideAI app builders
Explore Lovable and v0 for turning product ideas into working web applications.
3 projects · A selection guideAI application SDKs
Choose an application toolkit by language, output contract, and the part of the product you need to build.
7 projects · A selection guideAgent frameworks
Compare starting points for agents in Python and TypeScript, with explicit tool and output boundaries.
7 projects · A selection guideRetrieval and response reuse
Understand the difference between finding evidence in documents and reusing previous model responses.
3 projects · A selection guideVoice AI: speech-to-text, text-to-speech and voice agents
Compare ElevenLabs, Deepgram, AssemblyAI, Cartesia, Vapi and Retell AI by what you are building: transcription, speech or phone agents.
17 projects · A selection guideAI video generation and editing
From Runway, Kling AI and Google Flow to HeyGen and Captions: tools for generating clips, avatars and edited social video.
19 projects · A selection guideAI meeting notetakers
Otter.ai, Fathom, Granola, Fireflies.ai, Read AI, tl;dv and Plaud compared by how they capture meetings and what the free plans include.
8 projects · A selection guideAI research and literature tools
Consensus, Elicit, SciSpace, Scite, ResearchRabbit, Liner and Gemini Notebook for finding, reading and checking research.
9 projects · A selection guideVector databases and RAG infrastructure
Pinecone, Qdrant, Weaviate, Milvus, Chroma and turbopuffer, plus tools that prepare data for retrieval.
19 projects · A selection guideLLM observability and evaluation
Langfuse, Braintrust, Arize Phoenix, Promptfoo, W&B Weave and Helicone for tracing, evaluating and testing AI applications.
11 projects · A selection guideComparisons & guides
Pydantic AI vs LangChain for structured output
A documentation-based comparison for Python developers choosing a typed agent interface or a configurable integration framework.
Read comparisonVercel AI SDK vs LangChain.js for a Next.js app
Compare streaming application interfaces and agent orchestration before choosing a TypeScript AI toolkit.
Read comparisonHow to evaluate an AI tool before adding it to your stack
A practical checklist for comparing AI tools by task, evidence, failure behavior and maintenance cost.
Read guideHow AI products price in 2026: free plans, credits and the $20 tier
We checked the public pricing pages of 116 AI products. Most offer free usage, $20 a month is the usual entry price, and half meter usage with credits.
Read guideHow to get your AI product found by ChatGPT, Claude and Perplexity
Which AI crawlers to allow, what they need to read on your site, and what 182 AI product sites actually do today.
Read guideSEO basics for a new AI product site, and where established products slip
Titles, descriptions, share images, sitemaps, JavaScript and renames: what 158 AI product homepages get right and what new founders should copy.
Read guideAn AI product launch checklist: Product Hunt, Hacker News, X and directories
What to prepare before launch day, the posting rules of each channel, and the mistakes we see most often while listing 199 AI products.
Read guideLovable vs Bolt vs v0 for building an app from a prompt
Pricing, free plans and team billing of three popular AI app builders, from their official pricing pages.
Read comparisonOtter.ai vs Fathom vs Granola for AI meeting notes
How three popular notetakers capture meetings, what their free plans include and what they cost.
Read comparisonPinecone vs Qdrant vs Weaviate for vector search
Managed or self-hosted, free tiers, licenses and entry pricing for three widely used vector databases.
Read comparisonAI products that were renamed, acquired or shut down: what we tracked in 2026
Renames, acquisitions, pivots and shutdowns we found while maintaining a catalog of AI products, with sources.
Read guideOpen-source AI tools and their licenses: MIT, Apache 2.0, AGPL and source-available
What the licenses behind popular open-source AI tools allow, with examples from our catalog. Not legal advice.
Read guide