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Observability for AI agents · United Kingdom

Laminar: Product, team and how it was built

Small teamFundedB2BDeveloper tools

Laminar (Observability for AI agents, United Kingdom): 3.5K GitHub stars, November 2026. Evidence grade E: no revenue figure was checked. Team: 2 founders; 6 people on the Y Combinator listing in November 2026. Launched September 2024; still running.Added

Outcome
3.5K GitHub stars, November 2026
Evidence
E no revenue figure was checked
Launch
September 2024
Status
Still running
Team
2 founders; 6 people on the Y Combinator listing in November 2026
Outside funding
US$3M seed round, March 2026 (company blog)
Main channel
Open source
No revenue figure

What is not verified

No revenue figure was found, so the story is grade E. The pricing page, the home page, the blog and the repository were read; none gives revenue. A reader could look for a payment-processor profile or a press interview. No source states that a customer has paid, and the named customers are the company's own statement. The US$3M seed round is the company's own statement of 16 March 2026, and the team size of 6 is Y Combinator's listing. This story is grade E: the business is real and its product, price and customers are described from public pages, but no revenue figure was checked. Aiolum shows it as an idea worth studying, not as proof that it makes money.

Laminar is observability software for AI agents. Observability means recording what a program did, so that an engineer can find out why it failed afterwards. An AI agent is a program in which a language model decides the next step in a loop. Laminar records each step as a trace, the full list of calls in one run.

Robert Kim and Din Mailibay are listed by Y Combinator as the founders. The listing says the company was founded in 2024 and joined the Summer 2024 batch. Its first GitHub release is dated 5 September 2024. On 16 March 2026 the company wrote that it raised a US$3M seed round led by Atlantic.vc, and the listing gives a team of 6.

No revenue figure was found, so the story is grade E. Paid plans start at US$30 a month on the company's pricing page, and an account can be created without a sales call. No source states that a customer has paid, and the customers the company names are its own statement.

Laminar: 3.5K GitHub stars, November 2026. Observability for AI agents, United Kingdom, team of 2 to 10, evidence grade E.
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01

Why did Laminar work?

Four causes, in the order they mattered. Each one is a reusable lesson.

01

It narrowed the product to failures of long-running agents

The 2024 pages described a platform for pipelines, then observability for LLM apps. The March 2026 post speaks of agents that run for 40 minutes and fail in ways that are hard to reproduce. The home page lists a debugger, failure detection called Signals, evals and a SQL editor.

02

The code is open source and can be self-hosted

The repository is licensed under Apache-2.0 and starts with Docker Compose. The company also hosts it. The company's March 2026 post says Laminar is fully open source. No source states how many customers came from the repository.

03

The hosted plans charge for data volume, not for seats

Starter and Pro include unlimited seats and unlimited projects. Each plan includes an amount of data, and extra data costs US$2 or US$1.50 per GB, as the company's pricing page lists. The Signals analysis is billed apart, by tokens.

How it was built

These details come from the company's own pages and repository. They are grade C. [5, 4, 6, 14, 2, 7]

  • The server is written in Rust, according to the repository README and the company's blog posts.
  • The first release used Postgres, RabbitMQ and ClickHouse. A later blog post says ClickHouse dictionaries give fast joins when a full message history is rebuilt at query time.
  • The tracing library patches popular agent libraries with one line of code. The home page lists the Claude Agent SDK, the Vercel AI SDK, LiteLLM, Browser Use and others.
  • Plans are paid by card through Stripe, as the privacy notice states.
  • The company sells a second path for large buyers: on-premise deployment in the Enterprise plan, and Helm charts for Kubernetes.

Tools named in the sources

Each one opens its page in the Tools tab, with every story that uses it.

02

Who tried this before Laminar, and why did they fail?

Three developer-tool companies in our database of failed startups tried to sell a better view of a developer's own code or terminal. The values below are from that database, were read on 12 November 2026 and are not independently verified.

Died 2020 to 2024Burned US$10.0M

CodeSee

The promise

Visual maps of a codebase that update when the code changes.

Why it died

The record says engineering leaders did not see a clear return, and that such tools were cut first when budgets tightened.

Monetization
Died 2020 to 2024Burned US$2.4M

Fig DevTool

The promise

Autocomplete and visual commands inside the terminal.

Why it died

The record says free users did not become paying customers. It also says AWS acquired the company.

Monetization
Died 2014 to 2024Burned US$21.0M

Kite DevTool

The promise

AI code completion in the editor.

Why it died

The record says it came seven years before GitHub Copilot and made monetization mistakes.

Timing

The failed startups come from our database of 1,749 dead startups, retold here in our own words. Its entries are AI-assisted summaries of public sources, so these cards carry no evidence grade.

What changed

The three records share one trouble: engineers liked the developer tool, but it was hard to sell. The records name free alternatives and a gain that was hard to measure. Laminar meets the same trouble in a new place. An AI agent that fails after 40 minutes costs real model spending and engineering time.

Two things differ from the records. The data Laminar stores comes from agents that call paid models, and the company prices by data volume. It also offers the code for free, so a team can try it before paying.

03

Can one person copy Laminar now?

The open-source and per-GB structure can be copied; the result is not shown.

A small team can publish the code of a developer tool, host it, and sell plans by data volume. The sources show the price list and a seed round, and they show no revenue. A reader should treat this as a pattern, not as proof that it earns.

Where it is still open: Other long-running software that is hard to debug: voice agents, coding agents and data pipelines run by models.

  1. 1Pick one failure that engineers of a new kind of software cannot yet debug.
  2. 2Publish the code under a permissive licence, with a one-command self-hosting setup.
  3. 3Offer a free hosted plan and two paid plans that scale with data volume.
  4. 4Name the integrations on the home page, so that a team sees the setup is one line.
04

How much revenue does Laminar make?

Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.

A funded team of 6 with an open-source product and a self-serve price list, and no revenue figure
FactValueGradeHow we knowSources
CompanyLMNR AI, Inc., doing business as LaminarCNamed in the company's terms of service, last updated 11 August 2026, which choose the law of Delaware.[8]
Start2024, Y Combinator Summer 2024 batchCThe Y Combinator listing gives Founded 2024, Batch Summer 2024 and Location London, United Kingdom. A page of the company from 4 March 2024 already shows the product, so the start is no later than March 2024.[3, 10]
Founders and team2 founders; team size 6CY Combinator lists Robert Kim as founder and CEO and Din Mailibay as founder and CTO. The same listing says Team Size: 6.[3]
First release of the open-source code5 September 2024, version v0.1.1-alphaCGitHub marks it as a pre-release. Its note reads Initial working version with docker compose -based self hosting, Postgres, RabbitMQ, and Clickhouse.[6]
GitHub stars of the main repository3.5K stars, 262 forks, Apache-2.0 licenceCRead on the repository page on 12 November 2026.[5]
PricesFree, Starter at US$30 and Pro at US$150 a month, Enterprise customCThe company's pricing page, read on 12 November 2026.[1]
How a plan is boughtGet Started buttons lead to a sign-up page; card payment through StripeCThe sign-up page offers Google, GitHub and Microsoft accounts. The privacy notice says that if you purchase a paid plan, payment is handled by Stripe.[1, 12, 7]
FundingUS$3M seed round, March 2026CCompany blog post of 16 March 2026 by Robert Kim. It names Atlantic.vc as lead, with Y Combinator and AAL.vc taking part.[4]
Customers the company namesBrowser Use, OpenHands, Rye.com, Alai and LegionIntelCThe company's own blog post says teams at these companies rely on Laminar. No independent source was found.[4]
Earlier product, March 2024A platform to build and deploy chains of model callsCThe company page of 4 March 2024 offers building and monitoring pipelines of models. By 5 September 2024 the page speaks of observability for LLM apps.[10, 11]
Browser agent IndexOpen-source repository, 2.4K stars, Apache-2.0CA repository of the same GitHub organization, archived on 3 July 2025. Its README describes a browser agent that runs web tasks and offers a serverless API.[9]
Security claimsSOC 2 Type II and HIPAACStated on the company's home page and pricing page. No certificate was read.[2, 1]

How to read this table. Grade C means the company or a directory states the value. No value here is grade A or B. A calc value is not used.

Laminar prices read from the company's pricing page on 12 November 2026 (grade C)
PlanPer month, billed yearly (US$)Per month, billed monthly (US$)Limit
Free01 GB data, 7 days of data access, 1 project, 1 seat, no Signals
Starter303 GB data, then US$2 per GB; 30 days of data access; unlimited projects and seats
Pro15010 GB data, then US$1.50 per GB; 6 months of data access; unlimited projects and seats
Enterprisecustomcustomcustom limits, on-premise, dedicated support

The page shows monthly prices only. Data above the included amount is billed per gigabyte. A separate Signals charge is billed by the tokens that Laminar's own model uses to analyze traces.

05

When did Laminar launch, and how did it grow?

From an early platform for model pipelines in March 2024 to a hosted agent debugger with three paid tiers in November 2026.

  1. 4 March 2024CA copy of lmnr.ai in the Internet Archive offers a platform to build, deploy and monitor pipelines of models. [10]
  2. 15 July 2024CA copy of the pricing page in the Internet Archive lists a Free plan and a Startup plan with a contact button. [11]
  3. Summer 2024CThe company joins the Y Combinator Summer 2024 batch, according to the Y Combinator listing. [3]
  4. 5 September 2024CFirst release of the open-source code on GitHub. A copy of lmnr.ai of the same day speaks of observability for LLM apps. [6, 10]
  5. 16 March 2026CThe company announces a US$3M seed round led by Atlantic.vc. [4]
  6. November 2026CThe pricing page lists Free, Starter and Pro plans, and the blog index shows a post dated 10 November 2026. [1, 13]

What could go wrong for Laminar?

The risks are the mirror image of the causes above.

What is not verified

No revenue figure was found, so the story is grade E. The pricing page, the home page, the blog and the repository were read; none gives revenue. A reader could look for a payment-processor profile or a press interview. No source states that a customer has paid, and the named customers are the company's own statement. The US$3M seed round is the company's own statement of 16 March 2026, and the team size of 6 is Y Combinator's listing.

Home-page trust signals are not sourced

The home page shows one quotation from a person with the title CEO next to a Browser Use logo. It also shows SOC 2 Type II and HIPAA badges. A logo row names software libraries, not customers. No certificate or second source for the quotation was found.

Free and Starter workspaces may be used for training

The terms say Privacy Mode is off by default on Free and Starter plans from 10 September 2026. While it is off, Laminar may use Signals run data from that workspace to train its Signals models, after redaction. It is on by default for Pro.

A sister browser agent was sold in 2025 and is archived

The same GitHub organization published Index, an open-source browser agent, and archived the repository on 3 July 2025. The company's pricing page of 22 May 2025 sold Index agent steps at US$10 per 1,000 steps, as an Internet Archive copy shows. Today's pricing page does not list Index. The README and the archived documentation name no CAPTCHA, proxy or anti-bot feature. One source file of Index hides the browser's automation flag from websites, under a comment about avoiding detection as automation. The home page and the README name Browser Use and Stagehand as tools that Laminar can trace.

Sources

The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.

  1. C Laminar pricing page
    Read in full on 12 November 2026. Source for the three paid and free plans and the Signals charge.
  2. C Laminar home page
    Read in full on 12 November 2026. Source for the product description, the integrations, the quotation and the security badges.
  3. C Y Combinator company page: Laminar
    Read in full on 12 November 2026. Source for the founders, the batch, the year, the location and the team size.
  4. C Laminar blog, 16 March 2026: Laminar raised $3M to build observability for long-running agents
    Read in full on 12 November 2026. The company's own post. Source for the seed round and the named customers.
  5. C GitHub: lmnr-ai/lmnr
    Read the repository page on 12 November 2026. Source for stars, forks, licence and the feature list.
  6. C GitHub releases of lmnr-ai/lmnr, page 10 of 10
    Read the oldest releases on 12 November 2026. Source for the first release on 5 September 2024 and its note.
  7. C Laminar privacy notice, updated 3 November 2026
    Read the sections on billing and the company name on 12 November 2026. Source for Stripe.
  8. C Laminar terms of service, updated 11 August 2026
    Read in full on 12 November 2026. Source for the company name and the training licence.
  9. C GitHub: lmnr-ai/index
    Read the repository page and the file index/browser/browser.py on 12 November 2026. Source for the browser agent Index and its archive date.
  10. C Internet Archive copies of lmnr.ai, 4 March 2024 and 5 September 2024
    Read both copies in full. They show the earlier pipeline platform and the later observability page.
  11. C Internet Archive copy of lmnr.ai/pricing, 15 July 2024
    Read in full. Source for the 2024 plans.
  12. C Laminar sign-up page
    Read in full on 12 November 2026. It offers account creation with Google, GitHub or Microsoft.
  13. C Laminar blog index
    Read in full on 12 November 2026. It lists posts from 3 December 2025 to 10 November 2026.
  14. C Laminar blog: How Laminar compresses agent traces by 20x
    Read the section on storage on 12 November 2026. Source for ClickHouse.
  15. C Database of failed startups, local export
    Record pages read on the website on 12 November 2026. AI-written summaries, not independently verified.
  16. C Internet Archive copy of lmnr.ai/pricing, 22 May 2025
    Read in full. Source for the Index agent steps sold in the 2025 plans.

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