Standout
Matches software engineers with founding and early-stage roles through conversational AI, handling introductions directly.
- For
- Software engineers and technical founders seeking early-stage startup roles
- Price
- Price not read
- Use
- ≈ 3.5k visits a month · estimate, 2026-09
- Activity
- Actively maintainednothing dated on the site
- Company
- founding year not on record
- discover off-market founding engineer positions at startups
- get introduced directly to founders without recruiter involvement
- schedule interviews through conversational AI agent
Real‑Time B2B Data Broker via API or Data Feed | CrustdataIndexes people and company data from the web, queryable via API or MCP for recruitment and sales sourcing.
≈ 74.7k visits/mo
MetaviewDeploys AI agents to source candidates, run outreach, screen applications, and schedule interviews autonomously.
≈ 36.4k visits/mo
JuiceboxSearches candidate databases and manages recruiting workflows with learning-based sourcing and CRM tools.
≈ 40.4k visits/mo
- GemConsolidates recruiting workflows with AI agents for sourcing, application review, and candidate management across ATS, CRM, and analytics.
≈ 16.4k visits/mo
MoonhubSources, vets, and engages job candidates using AI agents to accelerate hiring.
≈ 374 visits/mo
HiPeopleScreens applications, conducts interviews, runs skills simulations, and schedules candidates using agents that work continuously across your hiring workflow.
≈ 52.2k visits/mo
What is Standout?
Matches software engineers with founding and early-stage roles through conversational AI, handling introductions directly.
Who is Standout for?
Software engineers and technical founders seeking early-stage startup roles
Do people use Standout?
Emerging: ≈ 3.5k visits a month · estimate, 2026-09.
Is Standout still maintained?
Actively maintained.
What are alternatives to Standout?
In HR, by use: Real‑Time B2B Data Broker via API or Data Feed | Crustdata, Metaview, Juicebox, Gem, Moonhub, HiPeople.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.