# BitBoard: persistent analytics for people and agents

Canonical: https://mudpie.ai/companies/bitboard/
Breadcrumb: [Home](https://mudpie.ai/) / [Companies](https://mudpie.ai/companies/) / [BitBoard: persistent analytics for people and agents](https://mudpie.ai/companies/bitboard/)
Author: Ali Abouelatta (https://mudpie.ai/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

## What it does

BitBoard is an analytics workspace where people and AI agents build persistent dashboards and reports together. A connected agent can load data, write SQL or code, create charts and commentary, and leave the logic and outputs attached to a shareable workbook. The [YC profile](https://www.ycombinator.com/companies/bitboard) explains the problem well: AI analysis is useful until a team needs a recurring report, shared context and a result that can be rerun.

The fit is a data or operations team that wants natural-language analysis without giving up the underlying query, source and correction trail. BitBoard is more promising for teams that need the answer again next week than for one-off chat exploration. Its [homepage](https://bitboard.work/) emphasizes three product qualities—accurate answers grounded in connected data, traceability of sources and queries, and repeatability of saved analysis.

## Why I’d look closer

The product has a useful separation between external agents and BitBoard’s own Ask agent. The docs say teams can connect Claude, Claude Code, Cursor, ChatGPT, Codex or another MCP-compatible agent to build dashboards, while Ask is the built-in agent for grounded questions. That distinction makes the system easier to evaluate: one can inspect what an external agent authored and separately test what Ask can answer.

Pricing is public. The [pricing page](https://bitboard.work/pricing) lists Individual as free with daily Ask limits and no credit card, Teams at $49 per seat/month with a shared workspace and centralized billing, and Enterprise as custom with admin, support and advanced-security features. The page says plans are flat-rate and do not currently bill for usage. The [docs](https://docs.bitboard.work/) mark Ask as beta, so its capabilities and workflows may change.

The founder context matches the product’s ambition. The [YC biographies](https://www.ycombinator.com/companies/bitboard) describe Connor Jones with Forward, BlackRock and Columbia Engineering experience. They describe Ambar Choudhury as Forward’s first engineer and a former Palantir engineer who worked on government-facing technology. Those backgrounds support the emphasis on data controls and durable analysis, but they are not a substitute for testing a team’s actual warehouse and permissions.

## What I’d ask

Which connectors are supported, how are freshness and row-level permissions enforced, and what exactly is executed when an agent writes code? I’d run a recurring report with a known query, deliberately introduce a correction, and check whether the saved workbook changes predictably. Enterprise buyers should inspect the security and administrative controls behind the pricing-page language rather than infer a certification.

## My editorial take

BitBoard is a strong fit for teams that have outgrown ephemeral AI analysis but do not want a rigid BI chatbot. The core test is simple: can a teammate open the shared URL, understand the source and logic, and rerun the result without the original prompt author in the room?

## Quick facts

| Field | Sourced detail |
|---|---|
| Buyer fit | Data, operations and analytics teams needing repeatable reporting |
| Public pricing | Individual free; Teams $49/seat/month; Enterprise custom |
| Agent surface | MCP-compatible external agents plus built-in Ask, marked beta |
| Differentiator | Sources, queries, code and context stay attached to the result |

## Sources checked

Checked 2026-09-19.

| Source | Used for |
|---|---|
| [YC company profile](https://www.ycombinator.com/companies/bitboard) | Product definition and founder backgrounds |
| [BitBoard homepage](https://bitboard.work/) | Current product qualities and workflow |
| [Pricing](https://bitboard.work/pricing) | Plans, flat-rate statement and Enterprise feature claims |
| [BitBoard docs](https://docs.bitboard.work/) | Agent connections and Ask beta boundary |

## Cohort context

BitBoard is listed in Spring 2025. In our 2026-09-18 directory snapshot, 97 of 143 listed companies in that cohort have YC’s primary industry label B2B (67.8%). This is a current-directory comparison, not an original intake count or a performance ranking. [Nine-cohort dataset](https://mudpie.ai/research/yc-cohorts-2026-09-19.json).

## Public website snapshot

Observed 2026-09-19T16:15:30.863Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

| Signal | Homepage observation |
| --- | --- |
| Product description metadata | Observed |
| Canonical link | Observed |
| H1 or H2 heading | Observed |
| Typed structured data | Not observed in this response |
| Docs/developer link | Observed |
| Pricing link | Observed |
| llms.txt link | Not observed in this response |
| Markdown alternate | Not observed in this response |

[Public observations](https://mudpie.ai/research/yc-homepage-links-2026-09-19.json) · [Collection method](https://mudpie.ai/research/yc-homepage-methods/README.md). Missing links here do not establish that a capability or file is absent elsewhere.


## Author disclosure

I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.