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Home›AI Companies›DataLang

DataLang

Foundation Models

Create GPT assistants and Custom GPTs from your databases. 1. Set up your Data Source (database) 2. Add some Data Views (SQL scripts) 3. Co

Create GPT assistants and Custom GPTs from your databases. 1. Set up your Data Source (database) 2. Add some Data Views (SQL scripts) 3. Configure your GPT Assistant (from selected sources) 4. Chat with the built-in Assistant or create a custom GPT 5. Publish it on the ChatGPT store or share it pri...

964 visits/mo
datalang.ioPricing
DataLang preview

Overall Score

11

of AI companies

Overall Score

11

of AI companies

GitHub Stars

—

no public repo

Monthly Visits

964

estimated

Community Saves

489K

watchlist signal

Executive summary

Create GPT assistants and Custom GPTs from your databases. 1. Set up your Data Source (database) 2. Add some Data Views (SQL scripts) 3. Configure your GPT Assistant (from selected sources) 4. Chat with the built-in Assistant or create a custom GPT 5. Publish it on the ChatGPT store or share it pri...

Foundation Models
  • Operates in foundation models.
  • 489K community saves — strong watchlist signal.

Why it ranks

Overall 11/100
  • Traffic is light
    20/100
  • GitHub is not enough data
    0/100
  • Community is not enough data
    0/100
  • Momentum is light
    3/100

Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.

View full analytics →

Recent signals

Latest detected signals across traffic, developer activity and community mentions.

  1. Indexed by indexator.ai

    May 12, 2026
  2. Featured on Product Hunt

    Jan 2024
  3. Launched on Product Hunt

    Jan 2024·130 upvotes · 20 comments

Traffic & Engagement

Apr 2026
Monthly Visits
964
Visit Duration
0m 00s
Pages / Visit
1.06
Bounce Rate
40.1%

Top Keywords

Apr 2026
KeywordVolume / MoCPC
ngrok chat280—

Top Countries

  • 🇺🇸US82.6%

About DataLang

Create GPT assistants and Custom GPTs from your databases. 1. Set up your Data Source (database) 2. Add some Data Views (SQL scripts) 3. Configure your GPT Assistant (from selected sources) 4. Chat with the built-in Assistant or create a custom GPT 5. Publish it on the ChatGPT store or share it pri...

Founded2023
Websitedatalang.io

Track DataLang

Get notified when score, traffic, GitHub or community signals change.

Recent signals

Latest detected signals across traffic, developer activity and community mentions.

  1. Indexed by indexator.ai

    May 12, 2026
  2. Featured on Product Hunt

    Jan 2024
  3. Launched on Product Hunt

    Jan 2024·130 upvotes · 20 comments

Score

Score breakdown

Overall 11/100

Six signals, each 0–100, blended into the overall by their listed weight.

20·20%
0·10%
0·25%
3·15%

Score trend

last 90 days

Traffic

Traffic & Engagement

Apr 2026
Monthly Visits
964
Visit Duration
0m 00s
Pages / Visit
1.06
Bounce Rate
40.1%

Top Countries

  • 🇺🇸US82.6%

Discovery

Top Keywords

Apr 2026
KeywordVolume / MoCPC
ngrok chat280—

Community snapshot
Featuredv1.0

Saves

489.1K

Rating

—

Views

—

Category

ChatGPT

ChatGPT

Pros · 18

  • Data queries in plain language
  • No technical knowledge required
  • GPT-3 for natural answers
  • Three-step process
  • Encrypted connection credentials
  • API for data and questions
  • Simplified data insights
  • User-friendly interface
  • Flexible question capability
  • Integrates with other tools
  • Subscription for product updates
  • Securely handles user information

Cons · 10

  • Requires data source configuration
  • Reliant on GPT-3 accuracy
  • No off-the-shelf query templates
  • No multilingual support mentioned
  • Questioning flexibility not defined
  • No indexing for quick search
  • Doesn't support real-time interrogation
  • Lacks user-defined reporting output
  • Doesn't mention non-relational databases
  • No visualization tools included

Rating distribution

5-star
0
4-star
0
3-star
0
2-star
0
1-star
0

Release history · 1+

Initial releaseJune 16, 2023

Initial release of DataLang.

Q&A · 21

What is Datalang?

Datalang is an AI tool that enables users to query their databases using natural language, effectively bridging the gap between technical expertise and end-users.

How does Datalang work?

Datalang works by converting the questions posed by the users in natural language to database queries. It uses GPT-3 to generate natural language answers for the users based on their queries.

What kind of questions can I ask Datalang?

You can ask Datalang almost any question you would ask a data analyst. Examples include questions about the number of users in a given timeframe or the most common values in a specific field.

Do I need any technical knowledge to use Datalang?

No, you don't need any technical knowledge to use Datalang. You just need to know your data source connection string.

How does Datalang secure my data?

Datalang ensures data security by encrypting connection string credentials. The credentials are only decrypted when necessary for data operations.

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Community vote

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Questions people ask

Generated from public signals and search intent.

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<a href="https://indexator.ai/companies/datalang" target="_blank" rel="noopener"> <img src="https://indexator.ai/api/embed/badge/datalang" alt="DataLang Score on Indexator.ai" width="200" height="60" /> </a>

Score Card

An embeddable card with score breakdown.

<iframe src="https://indexator.ai/api/embed/card/datalang" width="300" height="200" frameborder="0" style="border:none;border-radius:8px"></iframe>

Category Leaderboard

Top 10 in Foundation Models.

<iframe src="https://indexator.ai/api/embed/leaderboard?category=Foundation%20Models" width="300" height="400" frameborder="0" style="border:none;border-radius:8px"></iframe>
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