Mahindra K's profile on Product Hunt

About

•Has 10+ years of experience in database development and support in MS SQL Server environments. •Experience in writing and troubleshoot T-SQL Queries,Stored Procedures, Functions, Tables, Views, Triggers, Indexes, Constraints. •Experience on Creation various type of reports such as drill down & drill through reports, Matrix reports, Sub reports, Parameterized Reports and Deployment of SSRS Reports. •Experience in Data Extraction, Transforming and Loading (ETL) using SQL Server Integration Services (SSIS), DTS, Bulk Insert, and BCP, creating ETL packages to extract data from different sources applying Transformations and load data to different destinations. •Experience in creating Jobs, Alerts, SQL Mail Agent, and schedule DTS Packages.

Badges

Tastemaker

Gone streaking

Gone streaking 5

Forums

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3d ago

If you feel like deleting your code today, read this.

I posted my repo and got downvoted instantly. People called it pointless.

Six weeks later: 400+ stars, 5 pull requests from strangers, and a sponsor.

No viral thread, none of it came from aggressive self-promotion.

My honest take, online comments are heavily biased toward critics who like to tear things down fast.

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4d ago

How do you handle negative criticism, and not get emotional about it.

So, I'm about to launch my second product, which in my head I felt was a unique offering. As part of the work to try and get community engagement pre-launch I started exploring certain Red-colour forums to get feedback and understand user engagement, but what actually happened was a complete pile-on on the apparent unoriginal-ness of my product, etc.

I get that everyone has their own opinion, and I do not generally engage with trolls, but sometimes it's hard to ignore it, especially when you're 1-2 weeks out from your product launch, and then doubt kicks in.

p/lapuai

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15d ago

Desktop AI for ops is still subsidized. What happens when users pay the bill?

I'd like to share an opinion on the current situation in AI ops, not the coding/tech side.

Right now the market has a pretty clear pattern. Big labs like OpenAI, Anthropic and xAI are building their own desktop AI and computer-use apps. The trick is they still treat this segment as Growth. Maturity is far away. So the biggest players burn money acquiring customers and giving them huge subsidies on tokens vs real cost.

Today the world is getting a huge AI bill, mostly paid by investors. We're running on debt. If there is no real breakthrough, math doesn't lie, there will have to be a cost-effective compromise. Using heavy models for coding is justified. Using them for the simplest things in operations is not, economically.