Hello fellow managers and developers,

We have built and launched kibbar.com for the productivity of launched and in-development products.

• We help in tracking the reviews and sentiments of the users on the Play Store and App Store.

• And for development, we provide the distribution platform for the android and iOS development so that testing apps can be distributed without any hassle of store setup.

• There is a Short URL service that provides detailed analytics of the Short URL created.

  

We re getting close to launching Provoke on Product Hunt.

Over the last week I ve shared a bit about the problem, the workspace, the marketplace, and recording.

Over the next two weeks I ll start sharing more of the ecosystem:

• calendar

• email workflows

• media generation

• project management

• and how all of it fits together

5 minutes with Naurra.ai: emails triaged, calendar synced, files organized, data cleaned, report drafted.
What does your first 5 minutes look like?

Overview

We scanned 1000 random Product Hunt project URLs using the DLX7 free security scanner. The results were highly consistent. Most applications landed between C and B. At a glance, that appears acceptable. It is not.

What the Scores Actually Reflect

I ve been thinking a lot lately about how our workflow as developers has completely shifted. We are moving towards "vibecoding" using tools like Cursor, Copilot, or Claude to handle the syntax while we focus on the high-level architecture and logic.

However, we all know that AI often introduces vulnerabilities into our code, such as SQL injections, API key leaks, and logic flaws.

I'm thinking of developing a platform that scans your code with high precision to detect these vulnerabilities. The idea is simple: when the platform finds a flaw, it notifies you and provides a solution or a context-aware prompt that you can simply copy and paste to solve the issue instantly.

Hey everyone

I recently discovered Product Hunt, and it really feels like one of the best places to launch a product and find your first real users.

Right now I m building VertoX.

It s real-time voice translation that lets you speak any language on calls while keeping your tone, emotions, and your own voice.

Road to 1,000,000 Votap users Day 62 | Current: 1295

I've been working on a search engine project called Slick for over a year now, and I finally have an early access version ready to share.

Slick is a search engine built for speed, privacy, and user control. We never track search queries, location, or user behavior. Since we use our own index and ranking, no tracking slips through proxies.

Heres what Slick has to offer:

We ve been working closely with early-stage startups and noticed a pattern.

Most accelerator batches struggle with the same things:

• slow MVP development

• poor product-market validation

• no clear growth system after launch

So we started helping a few batches with a simple approach:

You just launched on Product Hunt and X is blowing up with replies. Instead of letting that momentum fade, embed your best reactions directly on your landing page while the hype is still fresh.

Turn launch day energy into long-term credibility.

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