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Commercial Case / Architecture / Public Revenue

AI2sql

Users describe what they need in plain English and the AI writes the SQL against their database schema; it can also fix, explain, and optimize existing queries, and can run them read-only and return results. It supports PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, and more, and also offers a desktop connector and MCP.

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THE BUSINESS IN NUMBERS

See the trend, not just the rank

2,3442026-10 · Ending MRR / USD
Historical trend, missing values left blank05.8K11.5K2021-09:102021-10:192021-11:192022-02:192022-03:282022-04:282022-05:472022-06:382022-07:472022-08:1302022-09:1792022-10:4472022-11:5692022-12:1,0042023-01:1,3752023-02:2,0372023-03:2,3042023-04:2,3942023-05:3,3682023-06:4,0462023-07:4,1362023-08:4,0842023-09:4,0202023-10:4,7872023-11:4,9202023-12:4,9942024-01:5,2372024-02:5,7682024-03:6,1872024-04:6,8542024-05:7,4732024-06:8,1602024-07:8,5602024-08:9,1582024-09:9,4482024-10:9,6822024-11:9,6202024-12:9,9162025-01:10,5562025-02:11,5042025-03:6,1862025-04:5,5142025-05:5,6642025-06:5,7962025-07:5,8562025-08:5,8992025-09:5,9972025-10:7,2462025-11:4,8192025-12:4,0422026-01:3,8462026-02:3,8342026-03:3,4622026-04:3,3882026-05:3,2622026-06:2,8022026-07:2,6952026-08:2,6222026-09:2,4292026-10:2,3442021-092026-10

Historical monthly records; Oct 2026 may be an incomplete month. MRR does not equal profit. Missing values left blank, negative values shown as recorded.

View period data
PeriodEnding MRR / USD
2021-0910
2021-1019
2021-1119
2022-0219
2022-0328
2022-0428
2022-0547
2022-0638
2022-0747
2022-08130
2022-09179
2022-10447
2022-11569
2022-121,004
2023-011,375
2023-022,037
2023-032,304
2023-042,394
2023-053,368
2023-064,046
2023-074,136
2023-084,084
2023-094,020
2023-104,787
2023-114,920
2023-124,994
2024-015,237
2024-025,768
2024-036,187
2024-046,854
2024-057,473
2024-068,160
2024-078,560
2024-089,158
2024-099,448
2024-109,682
2024-119,620
2024-129,916
2025-0110,556
2025-0211,504
2025-036,186
2025-045,514
2025-055,664
2025-065,796
2025-075,856
2025-085,899
2025-095,997
2025-107,246
2025-114,819
2025-124,042
2026-013,846
2026-023,834
2026-033,462
2026-043,388
2026-053,262
2026-062,802
2026-072,695
2026-082,622
2026-092,429
2026-102,344
01 / PRODUCT & PEOPLE

Who does it serve and what problem does it solve?

One of the earliest 'text-to-SQL' products (live as early as October 2021); it holds search positions with a large number of SQL learning, conversion, and error-code content pages, and its prices of $9/$19/$39 are below enterprise BI tools

Target Audience

Analysts, product and operations people who are not familiar with SQL, engineers and data engineers who need to write queries quickly, and people learning SQL

02 / BUSINESS MODEL

How does it charge?

subscription

Free tier with 3 queries per day (sample database); Start $9/month; Pro $19/month (includes the desktop connector, which can connect to your own database); Team $39/month; paid tiers have a 7-day free trial (card required)

The above describes historical pricing. Check official website for current prices.

03 / ACQUISITION

Where do users come from?

Traffic estimate 2026-09: the top channel is direct (41.1%), followed by organic search (an estimated share of about 44.2%) and referrals (about 8.8%); there are about 1,000 keywords, 100% organic, with almost no brand keywords, and the top terms are SQL-learning questions such as 'sqlbolt', 'sql ai algorithims', 'cheatsheets for microsoft sql server', and 'is dax type same as sql?', which shows that a large number of content pages and tool pages (learning SQL, format conversion, SQL templates, error codes) catch the search traffic. Social sources are X and Reddit. The founder says on Revenue record that the domain gets about 800K Google impressions per month. It launched on Product Hunt on 2021-10-25 (5th place that day) and relaunched as 2.0 on 2023-03-14. The website has an affiliate program entry and a 5-star G2 rating. Returning users stay through their subscriptions (the founder says retention was 'never worked on').

Channel share, initial acquisition, and growth drivers are distinct; correlation does not imply proven causation.

04 / YOUR NEXT QUESTION

What remains to be verified?

The following are research questions, not established market opportunities.

  • What do target users actually pay for? Is there direct user feedback or paid interview evidence?
  • Are these historical prices still active today? What are the conversion, retention, and fulfillment costs?
  • Is the "Traffic estimate 2026-09: the top channel is direct (41.1%), followed by organic search (an estimated share of about 44.2%) and referrals (about 8.8%); there are about 1,000 keywords, 100% organic, with almost no brand keywords, and the top terms are SQL-learning questions such as 'sqlbolt', 'sql ai algorithims', 'cheatsheets for microsoft sql server', and 'is dax type same as sql?', which shows that a large number of content pages and tool pages (learning SQL, format conversion, SQL templates, error codes) catch the search traffic. Social sources are X and Reddit. The founder says on Revenue record that the domain gets about 800K Google impressions per month. It launched on Product Hunt on 2021-10-25 (5th place that day) and relaunched as 2.0 on 2023-03-14. The website has an affiliate program entry and a 5-star G2 rating. Returning users stay through their subscriptions (the founder says retention was 'never worked on')." channel still viable? What resources do indie devs need to test it?
  • Whose needs are competitors failing to meet? Find specific evidence before deciding on your angle.

05 / BUSINESS EVIDENCE

Test stories with numbers

The following signals are used to audit cases, not to automatically validate product success or market opportunities.

2,344Snapshot MRR / USD (non-profit)
2,324Snapshot 30-day revenue / USD
2026-10-24Metric updated