Description
Phind
Overview
Evolution and Milestones
| Date | Event |
|---|---|
| Jan 2022 | First internet-connected LLM demo |
| Jul 2022 | Public launch, Y Combinator S22 |
| Summer 2023 | Phind-34B open-source (74.7% HumanEval, beat GPT-4) |
| Feb 2024 | Phind-70B (82.3% HumanEval, 4x faster than GPT-4) |
| Sep 2024 | Phind-405B (92% HumanEval, matches Claude 3.5 Sonnet) |
| Dec 2025 | $10.4M round (Bessemer, SV Angel, YC) |
Proprietary Models
Phind Model Family
| Model | Base | HumanEval | Features |
|---|---|---|---|
| Phind-Instant | Llama 3.1 8B | - | 350 tokens/sec, ultra-fast |
| Phind-70B | CodeLlama-70B | 82.3% | 80 tokens/sec, 32K context |
| Phind-405B | Llama 3.1 405B | 92% | 128K tokens, flagship |
Phind-70B (Detail)
| Aspect | Specification |
|---|---|
| Base | CodeLlama-70B + 50B additional tokens |
| HumanEval | 82.3% (vs GPT-4 Turbo 81.1%) |
| CRUXEval | 59% (vs GPT-4 62%) |
| Speed | 80 tokens/sec (4x GPT-4 Turbo) |
| Context Window | 32K tokens |
| Infrastructure | NVIDIA H100 + TensorRT-LLM |
Phind-405B (Flagship)
| Aspect | Specification |
|---|---|
| Base | Meta Llama 3.1 405B |
| HumanEval | 92% (matches Claude 3.5 Sonnet) |
| Context | 128K tokens (32K at launch) |
| Training | 256 H100 GPUs, FP8 mixed precision |
| Memory | 40% less usage vs BF16 |
Main Features
AI Search Engine
| Feature | Description |
|---|---|
| Context-Aware Search | Understands deep technical context |
| Multi-Step Reasoning | Chained searches mid-response |
| Code Snippets | Responses with executable code |
| Source Citations | Links to original documentation |
| Visual Answers | Diagrams, embedded images |
Interactive Mini-Apps (Phind 2.0)
| Feature | Description |
|---|---|
| Generative UI | Creates mini-apps to visualize answers |
| Jupyter Integration | Live code execution |
| Interactive Widgets | Expandable elements, tutorials |
| In-Browser Execution | Test code without switching tabs |
VS Code Extension
| Feature | Description |
|---|---|
| Highlight & Explain | Select code, get explanation |
| Debugging Assistance | Contextual error analysis |
| Refactoring Suggestions | Code improvements |
| Codebase Awareness | Understands your project |
Pair Programmer
| Feature | Description |
|---|---|
| Idea to Product | From concept to implementation |
| Step-by-Step Guidance | Detailed instructions |
| Clarifying Questions | Asks to better understand |
| Multi-Language | Python, JS, C++, Rust, Go, SQL, more |
Pricing (2025)
Free
| Feature | Included |
|---|---|
| Unlimited Phind-Instant | ✅ |
| Phind-70B/405B | 10 uses/day |
| GPT-4 | 10 uses/day |
| Basic support | ✅ |
Phind Plus - $10/mo
| Feature | Included |
|---|---|
| Automatic Multi-Search | ✅ |
| Deep Research | ✅ |
| Higher allowances | ✅ |
Phind Pro - $20/mo ($17/mo annual, $200/year)
| Feature | Included |
|---|---|
| Unlimited Phind-70B/405B | ✅ |
| GPT-4o | 500+ uses/day |
| Claude 3.7 Sonnet | 500+ uses/day |
| Claude Opus | 10 uses/day |
| Multi-query mode | ✅ |
| Image analysis | ✅ |
| Extended context (8K tokens) | ✅ |
| Early access features | ✅ |
| Private Discord | ✅ |
| Data opt-out | ✅ |
Business - $40/user/mo
| Feature | Included |
|---|---|
| Everything in Pro | ✅ |
| Zero data retention (OpenAI/Anthropic) | ✅ |
| Centralized billing | ✅ |
| Team management | ✅ |
| Data excluded from training | ✅ |
Languages and Technologies Supported
Programming Languages
| Backend | Frontend | Others |
|---|---|---|
| Python | JavaScript | Rust |
| Java | TypeScript | Go |
| C++ | React | SQL |
| C# | Angular | Terraform |
| Ruby | Vue | Docker |
Frameworks and Platforms
| Category | Technologies |
|---|---|
| Web | Next.js, Django, Flask, Express |
| Cloud | AWS, GCP, Azure, Kubernetes |
| Databases | PostgreSQL, MongoDB, Redis |
| DevOps | Docker, Terraform, CI/CD |
| ML/AI | PyTorch, TensorFlow, scikit-learn |
Metrics and Growth
Users and Engagement
| Metric | Value |
|---|---|
| Answers generated | 90M+ |
| Active users | Millions |
| Weekly growth | 5-10% |
| Response time | <5 seconds |
Performance vs Competition
| Benchmark | Phind-405B | GPT-4 Turbo | Claude 3.5 Sonnet |
|---|---|---|---|
| HumanEval | 92% | 81.1% | 92% |
| Speed | 80 tok/s | 20 tok/s | - |
Funding
Investment Rounds
| Date | Round | Amount | Investors |
|---|---|---|---|
| Jul 2022 | Pre-Seed/YC | $500K | Y Combinator, A.Capital |
| Dec 2025 | Seed | $10.4M | Bessemer, SV Angel, YC |
| Total | ~$11M |
Investors
- Y Combinator (S22)
- Bessemer Venture Partners
- SV Angel
- A.Capital Ventures
- Paul Graham (backing)
- NEA (Series A $14M mentioned)
- Liquid 2 Ventures
Infrastructure
Cloud Partners
| Partner | Use |
|---|---|
| AWS | Main infrastructure, EC2 P4d/P5 |
| SF Compute | Training, deployment |
| NVIDIA | H100 GPUs, TensorRT-LLM |
| Meta | Llama base models |
| Voltage Park | Computing |
Technology
| Aspect | Detail |
|---|---|
| Training | AWS ParallelCluster |
| GPUs | NVIDIA A100, H100 |
| Optimization | TensorRT-LLM (5x speedup) |
| Precision | FP8 mixed precision |
Use Cases
Debugging
- Paste error, get likely causes
- Step-by-step solutions
- Verification against logs
API Integration
- Sample requests/responses
- Adapt to your language
- Safe testing
Learning
- Framework roadmaps
- Small projects to validate
- Find knowledge gaps
Architecture
- Design patterns
- Trade-offs explained
- Authoritative citations
Security Review
- Common pitfalls
- Mitigations
- Compliance with standards
PROS ✅
- Code Specialized - Not a generic chatbot
- Proprietary Models - Phind-70B/405B beat GPT-4 on HumanEval
- 4x Faster - 80 tokens/sec vs GPT-4's 20
- Generous Free Tier - Unlimited Phind-Instant
- VS Code Extension - Native IDE integration
- Source Citations - Links to documentation
- Mini-Apps - Interactive visualization
- Multi-Language - All popular languages
- Long Context - Up to 128K tokens
- No Login Required - Try without registration
- Y Combinator - Backed by Paul Graham
- Constantly Improving - 5-10% weekly growth
CONS ❌
- Precise Queries Required - Not as good with vague prompts
- Premium for GPT-4 - Best model behind paywall
- No Full Project Awareness - Doesn't index full codebase like Cody
- UI Can Overwhelm - Visually dense layout
- Strong Competition - GitHub Copilot, Cursor, Cody
- No Public API - Not for external integrations
- Partial Open-Source - Only some models released
vs Competitors
| vs | Phind Wins | Competitor Wins |
|---|---|---|
| GitHub Copilot | Explanations, debugging, citations | Native IDE autocomplete |
| Cursor | Web search, citations, free | Complete AI-native editor |
| Perplexity | Code-specific, debugging | General research, citations |
| ChatGPT | Code specialized, faster | General versatility |
| Cody | Conversational, web search | Full codebase indexing |
| Google Search | Direct answers with code | Breadth of results |
When to Use Each
| Tool | Best For |
|---|---|
| Phind | Debugging, documentation, learning code |
| Copilot | Autocomplete while coding |
| Cursor | Complete AI-first IDE |
| Perplexity | Technical research, architecture |
| Cody | Large codebase navigation |
Company Information
- Name: Phind Inc.
- Founded: 2022
- Headquarters: San Francisco, California
- Employees: ~4-10
- Accelerator: Y Combinator S22
- Total Funding: ~$11M+
Founders
| Name | Role | Background |
|---|---|---|
| Michael Royzen | CEO, Co-founder | UT Austin Turing Scholar, Microsoft Research (age 17), Lyft ML, Cloudflare |
| Justin Wei | Co-founder | UT Austin Turing Scholar |
Recognition
- World's First LLM Search Engine (Jan 2022)
- Phind-34B beat GPT-4 on HumanEval (2023)
- 92% HumanEval with Phind-405B (matches Claude 3.5 Sonnet)
- Y Combinator S22 batch
- Paul Graham backing
- "StackOverflow on steroids" - community
Future
Announced Plans
- AI-first native desktop app
- Complete idea-to-product workflow
- More open-source models
- Mini-apps expansion
- Continuous speed improvements (TensorRT 5x)
Vision
Key Features
AI search engine specialized developers
Proprietary models Phind-70B 405B code
Context-aware search deep technical
Code snippets executable responses
Source citations original documentation
VS Code extension IDE integration
Interactive mini-apps visualization
Multi-step reasoning chained searches
Jupyter integration code execution
Pair programmer idea to product
Multi-language Python JS C++ Rust Go
Debugging assistance error analysis
Refactoring suggestions code improvements
128K context window flagship
80 tokens second 4x GPT-4
Deep research automatic multi-search
Image analysis Pro feature
Private Discord community
Zero data retention Business
Generous free tier Phind-Instant
Use Cases
Debugging code error analysis
Documentation API docs search
Learning frameworks new technologies
Code generation executable snippets
Architecture patterns system design
API integration sample requests
Security review pitfalls mitigations
Refactoring existing code improvement
Testing strategies coverage
DevOps Terraform Docker Kubernetes
Database queries SQL optimization
Frontend React Angular Vue
Backend Python Java Node.js
Cloud AWS GCP Azure
ML/AI PyTorch TensorFlow
Performance optimization profiling
Code review best practices
Troubleshooting production issues
Learning new programming languages
Technical interviews preparation
Information
Company
Phind Inc.
Website
www.phind.com