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Reflection

Open-weight coding and agent model served through an API or deployed on a customer's own infrastructure.

Actively maintained

At a glanceswept Oct 19, 2026

≈ 6.6kvisits/mo

Established · estimate, read Oct 19, 2026

For
developers and organizations wanting open-weight models for coding and agentic workloads
Activity
Actively maintainedsite updated 3 days ago · 46 open roles
Company
since 2024 · ~320 peopleper Wikidata
Runs as
APISelf-hosted
Used for
  • call the hosted Beam model through an API
  • download open weights to fine-tune locally
  • deploy models in private cloud or on-prem
Worth knowingcomputed from what we read · each with its source
  • Used more than 90% of the 1,831 tools on its shelfINITE Atlas →
  • On the web since 2024, older than 66% of its shelfINITE Atlas
  • Hiring: 46 open rolescareers page
  • Launched on Product Hunt on Oct 19, 2026Product Hunt ↗
The companyeach fact with its source · read Oct 19, 2026
  • Founded2024per Wikidata
  • Domain since2017domain registered
  • People~320per Wikidata · as of 2026
  • Raised$2B · Series Bper the press · 2025-10 ↗
  • HeadquartersBrooklynper Wikidata
  • Industryartificial intelligenceper Wikidata
Alternatives in Developer toolsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is Reflection?

    Open-weight coding and agent model served through an API or deployed on a customer's own infrastructure. It is listed in the Atlas under Developer tools.

  • Who is Reflection for?

    developers and organizations wanting open-weight models for coding and agentic workloads

  • Do people use Reflection?

    Established: ≈ 6.6k visits/mo · estimate, 2026-10.

  • Is Reflection still maintained?

    Actively maintained: site updated 3 days ago · 46 open roles.

  • What are alternatives to Reflection?

    In Developer tools, by use: Cloudflare, Ollama, Nebius, New Relic, AI Operator by BLACKBOX AI, Blink.

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 tool 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.

How we read every tool → · By INITE Atlas Desk