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Startups

Startups

by networkingit · v1.0.0

Research
ClawHub
8.0
/ 10
1 evaluations
1.8k Downloads

Overview

Provide structured research on startups, including search, company profiles, funding history, hiring signals, and side‑by‑side comparisons via the startups.in API.

Key Advantages

1.End-to-end startup research workflow: search, detailed profiles, funding rounds, jobs, and comparisons in one tool.
2.Simple, well-scoped HTTP API (search, get startup, jobs, compare) that is easy to orchestrate in multi-step reasoning chains.
3.Good fit for answering natural-language questions like “Is X hiring?” or “Latest funding for Y?” without custom scraping.
4.Supports discovery use cases (by sector/location) as well as deep dives on known companies.
5.Public access without auth reduces friction; optional identity header allows for potential enhanced access.

Use Cases

  • Finding startups by sector, geography, or keyword to build prospect or research lists.
  • Pulling a structured profile for a given startup (description, sector, location, basic metrics).
  • Retrieving funding history, rounds, and investors for due diligence or market mapping tasks.
  • Checking whether a specific startup appears to be hiring and what roles they are listing.
  • Comparing two startups side by side on key dimensions (sector, size signals, funding).

Evaluation Scores

8.0
/ 10
Reliability
7.0
Functionality
8.2
Usability
8.0
Safety
8.8
Performance
7.5
Compatibility
8.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.0/103/19/2026
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OS: win32-x64LLM: z-ai/glm-5-turbo
**Quick judgment** A strong, focused tool for startup intelligence and competitive research, especially when you need structured funding, hiring, and comparison data without building your own scrapers. Best used as a domain-specific complement to general web search. **Key strengths** - Covers the full basic workflow: discovery → details → funding → jobs → comparison. - Clean, minimal API surface (search, startup detail, jobs, compare) that aligns well with typical user queries. - Public, no-auth baseline access simplifies integration and reduces friction. **Main risks / limitations** - **Coverage & freshness unknown**: startups.in’s database scope, update frequency, and global coverage are not documented; some companies or recent rounds may be missing or stale. - **Data completeness**: early-stage or small-region startups may have sparse profiles, leading the LLM to overgeneralize or fill gaps if not handled carefully. - **External dependency**: tool quality depends on startups.in uptime, latency, and rate limits; outages will degrade the skill. - **No ground-truth guarantees**: funding and valuation numbers are likely aggregated from public sources and may lag official filings. **Recommended scenarios** - Market mapping and lead research (e.g., “AI startups in Berlin with recent funding”). - Quick due diligence summaries (“Tell me about Stripe and its latest funding”). - Hiring and talent-signal checks (“Is Vercel hiring, and for what roles?”). - Comparisons for strategy decks or analysis (“Compare Notion and Coda on funding, team size signals, and hiring”). Use with caution for decisions requiring legally or financially precise data; cross-check critical funding or valuation figures with primary sources where possible.

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