DB Dash

DB Dash

Indie Hackers

Easy interactive data dashboards using SQL queries.

One day, I wanted to pull up the stats for a project and show them on TV (e.g. how many users, revenue...), and it was unnecessary complex. DB Dash is here to fix that.

Share card

Actual performance

1followers
$15MRR/mo
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, using · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, active · Missing: arr, mrr, profit
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ea
Easy placeholders for SQL queries when using psycopg2 in Python68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Easy placeholders for SQL queries when using psycopg2 in Python

Hacker News1
Bi
Bigbash – Generate bash one-liners from SQL queries on files without DB59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bigbash – Generate bash one-liners from SQL queries on files without DB

Hacker News9
Re
Re:dash - collaborative dashboards using RedShift56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Re:dash - collaborative dashboards using RedShift

Hacker News7
Ji
JinjaSQL – Generate SQL Queries using a Jinja Template58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

JinjaSQL – Generate SQL Queries using a Jinja Template

Hacker News77
An
An SQL data mapper using Go generics61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An SQL data mapper using Go generics

Hacker News3
In
Interactive and scalable dashboards with Vaex and Dash54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interactive and scalable dashboards with Vaex and Dash

Hacker News5
Di
DigData – convert SQL to MongoDB queries66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DigData – convert SQL to MongoDB queries

Hacker News6
Pi
PipeSQL – Building SQL queries bottom-up using pipes and filters74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PipeSQL – Building SQL queries bottom-up using pipes and filters

Hacker News36
(U
(Up):Building SQL queries in bottom-up approach using pipes and filters76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

(Up):Building SQL queries in bottom-up approach using pipes and filters

Hacker News3
LINQ Me Up
LINQ Me Up57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Convert SQL queries into C# LINQ code & vice versa using AI

Indie Hackers2$40/moai