claude-quickstarts vs hindsight
claude-quickstarts and hindsight share 20 technologies: FastAPI, uvicorn, React, Next.js, MCP, Google, cryptography, pillow, Pydantic, OpenTelemetry, Tailwind CSS, next-themes, tailwind-merge, class-variance-authority, Radix UI, Lucide, react-markdown, Zod, recharts, and remark-gfm. claude-quickstarts is written in TypeScript and hindsight in Python.
What they share and what sets them apart
claude-quickstarts
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API
TypeScript19.1kRead on November 6, 2026, at commit 8ef47d7What is claude-quickstarts built with?Only in claude-quickstarts
- gitdb
pyarrow
- Anthropic
- anyio
starlette
tornado
- Streamlit
- Hono
- Express
- Vite
- Linear
- altair
- pydeck
- jinja2
markupsafe
- openpyxl
- python-pptx
- python-docx
- annotated-types
- jsonschema
- jsonschema-specifications
- pydantic-core
- referencing
- boto3
- pngjs
rehype-highlight
rehype-raw
- @radix-ui/react-icons
@assistant-ui/react-markdown
- react-shiki
@assistant-ui/react
assistant-stream
- chat
@hono/node-server
@copilotkit/runtime
@copilotkit/react-core
- Cloudflare
- Vercel
In common
hindsight
Hindsight: Agent Memory That Learns
Python59kRead on November 5, 2026, at commit ee3bd04What is hindsight built with?Only in hindsight
pgvector
psycopg2-binary
- Postgres
- Claude
OpenAI- AIOHTTP
fastmcp
- Tokio
- Preact
- Rich
- crossterm
- indicatif
- Ratatui
- SQLAlchemy
- alembic
- pyjwt
- einops
- Haystack
openai-agents
- pydantic-ai-slim
strands-agents
litellm
- torch
- CrewAI
google-adk
- LangChain
llama-index-core
- autogen-core
- validator.v2
- opentelemetry-api
opentelemetry-semantic-conventions
- opentelemetry-exporter-otlp-proto-http
opentelemetry-instrumentation-fastapi
- @tailwindcss/postcss
- PostCSS
sonner
react18-json-view
- cmdk
ai
- @opencode-ai/plugin
- js-yaml
@clack/prompts
Side by side
Frequently asked questions
Which is bigger, claude-quickstarts or hindsight?
Which has more GitHub stars, claude-quickstarts or hindsight?
The proof: vectorize-io/hindsight on GitHub
Which has more tests, claude-quickstarts or hindsight?
Which was updated more recently, claude-quickstarts or hindsight?
The proof: vectorize-io/hindsight's commits on GitHub
Which has more commits signed by AI, claude-quickstarts or hindsight?
The proof: the commits each tool signed in anthropics/claude-quickstarts
See inside your code, today.
Paste your repo and see it drawn, part by part: a medium one in under a minute.
Free, no account.

