Influx Insights | Data tools, guides and analysis

How Dating App Algorithms Work for Casual Matches

TL;DR Dating app algorithms use your profile, choices, and activity to sort potential matches. For casual dating, I would put shared intent before a match score. FuckPal presents itself as a place for casual connections. Treat a suggested profile as a chance to talk, then check that you both want the same thing.

Alex Reed · 11 min read

Dashboards

7 Best Dashboard Software Tools for Small Teams

TL;DR I recommend Metabase for a small team whose data is already in a database. It gives people a clear way to ask questions and share charts. Choose Power BI if your team runs on Microsoft. Choose Google Data Studio for Google marketing reports. Try Databox to track KPIs across business apps.

Alex Reed · 23 min read

SQL tools

DataGrip Review: Is It Right for Your SQL Work?

TL;DR I recommend DataGrip if you write SQL often. It is a strong choice when you switch between databases. Its code help and query history are worth a close look. For a few simple queries, try a free tool first. Paid work needs a commercial license.

Alex Reed · 6 min read

Data pipelines

6 Best ETL Tools for Small Teams: Cost, Control, and Fit

TL;DR For managed app-to-warehouse syncs, I would start with Fivetran. Choose Airbyte if you need more control and can own the setup. Hevo, AWS Glue, and Azure Data Factory fit narrower needs. Existing Stitch users should check their current plan; new buyers are sent to Qlik Talend Cloud. Compare cost, source support, and upkeep.

Alex Reed · 19 min read

Data quality

6 Best Data Quality Tools for Small Teams

TL;DR I would start with Soda for repeat warehouse checks, with an engineer to own setup. Choose OpenRefine to clean messy files, GX Core for Python tests, and Elementary for dbt reports. Datafold suits table comparisons; Monte Carlo fits broader monitoring needs.

Alex Reed · 13 min read

Start with the job you need to do

Choose a guide for the question you want to answer. Explore tools for your work and the data behind everyday choices.

Understand your matchesSee how data shapes dating app suggestions.

Show your dataTurn numbers into useful reports.

Query your dataWork with SQL and databases.

Move your dataBring data into one place.

Check your dataCatch gaps and errors earlier.