SQ

SQL access to Covid-19 data

Hacker News

SQL access to Covid-19 data

There’s a ton of phenomenal efforts to record and post COVID-19 data publicly. The next step is querying and joining across it. In that spirit, my co-founder, Jonathan Mortensen, and I spent the weekend building a way to quickly query and join the COVID-19 data sets with SQL. Using our tool you can, for example, join the John Hopkin's data set (tracking infections and fatalities) with CovidTracking (testing data). We’re adding in census data and other useful epidemiology reference data, too. That's not been available before! We’re almost to the point where the data sets will update automatically, so you can be sure the data is always fresh. Please check our tool out and give us feedback: https://bit.io/covid Note that this tool is intended for folks who already know SQL and can connect to us via tools that speak SQL.

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Di
Direct SQL Access to Your QuickBooks Data50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Direct SQL Access to Your QuickBooks Data

Hacker News4
Ne
Nextbi.ai – NLP to SQL data querry for SMEs49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nextbi.ai – NLP to SQL data querry for SMEs

Hacker News1
Indiequery
Indiequery43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Easy and mobile-friendly access to your SQL data

Indie Hackers1analytics
Bu
Build entire data access layer with SQL only56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Build entire data access layer with SQL only

Hacker News3
I
I Solved N Queens in SQL56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Solved N Queens in SQL

Hacker News2
Li
Lithium::SQL C++17, Header Only MySQL and SQLite Connectors and ORM76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lithium::SQL C++17, Header Only MySQL and SQLite Connectors and ORM

Hacker News2
Go
Go Fearless SQL67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Go Fearless SQL

Hacker News3
Mo
Mongita is to MongoDB as SQLite is to SQL77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mongita is to MongoDB as SQLite is to SQL

Hacker News126
SQ
SQL Basics59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SQL Basics

Hacker News26
ca
can we get rid of SQL?67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

can we get rid of SQL?

Hacker News2