This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Stop guessing which PostgreSQL indexes deserve to ship. IndexPilot checks proposals against real usage and existing indexes, helping you avoid wasted write, storage, and maintenance costs. Try it database-free in 60 seconds. It never changes your database.
I read an article about how DNA can store large volumes of data and wondered why nobody had built a database with it. I soon understood that it was too complex and slow for a practical database. I kept the idea, and while trying to optimize the database for an algorithmic trading system I am building, I accidentally built IndexPilot. The idea pivoted toward indexing and efficiency.
IndexPilot is a free, open-source, read-only CLI that checks proposed PostgreSQL indexes against workload evidence before merge. @krshs90 joined the journey and contributed to the project. Please try the 60-second database-free review and tell me what worked, what failed, and what evidence you still need. If you use it, I would also value your honest review. If you are an expert in DB please join the project as contributor or for feedback and suggestions on github.
Tried the database-free demo and was surprised how fast it flagged a duplicate index I'd been ignoring for months. Wish I'd had this before that last migration.
Cool that you can try it without touching the database first. One thing I'd love is a way to schedule recurring audits, maybe weekly, with a diff report so I can see when new proposals appear and how my indexes drift over time.
A 60-second database-free trial is a smart way to get people hooked. One thing that would help me trust it more: show me exactly which queries you sampled to decide a proposed index is actually beneficial, or let me upload a pg_stat_statements snapshot so the analysis matches my real workload instead of synthetic traffic.
About IndexPilot on Product Hunt
“Make a Postgres index prove itself before merge”
IndexPilot was submitted on Product Hunt and earned 8 upvotes and 4 comments, placing #128 on the daily leaderboard. Stop guessing which PostgreSQL indexes deserve to ship. IndexPilot checks proposals against real usage and existing indexes, helping you avoid wasted write, storage, and maintenance costs. Try it database-free in 60 seconds. It never changes your database.
IndexPilot was featured in Open Source (68.6k followers), Developer Tools (516.2k followers), GitHub (41.3k followers) and Database (2.2k followers) on Product Hunt. Together, these topics include over 117k products, making this a competitive space to launch in.
Who hunted IndexPilot?
IndexPilot was hunted by Jai Thakur. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Jai Thakur
Hi Product Hunters 👋
I read an article about how DNA can store large volumes of data and wondered why nobody had built a database with it. I soon understood that it was too complex and slow for a practical database. I kept the idea, and while trying to optimize the database for an algorithmic trading system I am building, I accidentally built IndexPilot. The idea pivoted toward indexing and efficiency.
IndexPilot is a free, open-source, read-only CLI that checks proposed PostgreSQL indexes against workload evidence before merge. @krshs90 joined the journey and contributed to the project. Please try the 60-second database-free review and tell me what worked, what failed, and what evidence you still need. If you use it, I would also value your honest review. If you are an expert in DB please join the project as contributor or for feedback and suggestions on github.
Thank you!
Jai