I built SpatialProbe a 3D globe for exploring real terrain and imagery, layered with data earthquakes, wildfires, Wikipedia points of interest, plus a photos/videos community where people can also do storytelling by combining their media with gpu tracks and share journey "reports" road trips etc

• Global routing elevation aware for car/bike/hiking, selection of basemaps and elevation of all routes plus lots of tools for measuring on the globe

• No ads, no tracking. Paid subscription ( 3.49 5.49/mo, 7-day free trial)

• Content licensing is opt-in per upload: Creative Commons through to "all rights reserved."

• Constantly deploying new data layers and features

Would love feedback https://home.spatial-probe.com

For the past few weeks I ve been working on Lynkbio, a new way to create a personal link in bio page that feels more like your own little website than a simple list of links.

I wanted to build something that puts more focus on the actual experience. Clean design, customization, animations, analytics and the ability to make your page feel genuinely personal instead of looking like everyone else s.

There are already a lot of link in bio tools out there, so I didn t want to build another basic page with a profile picture and a few buttons. The goal with Lynkbio is to give creators something that actually feels like part of their identity.

I ve been working on the product, the design and all the little details, and I m finally dropping Lynkbio on August 14th here on Product Hunt.

Here is the issue we ran into while building CareerButler V2:
We built this powerful AI to tailor resumes to job descriptions. But we noticed that if the user uploaded a weak resume to start with, the AI couldn't save it.
If your resume says "I led a team to success" without any numbers, the AI doesn't know what 'success' means. It can't optimize what isn't there.
So it either:
Polishes the fluff (still useless).
Starts hallucinating and making up numbers (dangerous).
We realized we couldn't just build a 'tailor'. We had to build a 'fixer' first.
It's called Resume Critique.
Before we begin optimizing your resume for a specific job, we force a deep scan. It parses your resume section-by-section to fix the foundation.
We actually highlight the specific bullet points that are weak, right on the screen, and give you tips on exactly how to improve them.
And I don't mean generic advice like 'Add more metrics.' That is lazy.
I mean specific, actionable pushes.
Here is the difference between Generic Advice vs. CareerButler V2:
Generic Tool: "You should add more metrics."
CareerButler: "In your role as Project Manager, you listed 'Led a team to success.' This is vague. Consider adding the team size and a specific outcome. For example: 'Led a team of 10 engineers to deliver the product 2 weeks ahead of schedule.'"
Generic Tool: "Your summary is too long."
CareerButler: "Your professional summary is currently 6 sentences long. Recruiter heatmap research shows they stop reading after sentence 2. We recommend cutting this down to a highlight reel of your top 3 hard skills."
It s like having a career coach proofread your resume before you start applying. It stops you from optimizing a bad resume.
Fix the foundation first. Then tailor it.
We are launching V2 on Product Hunt this Sunday. Come see if your resume passes the check.

After launching Savyre AI Coding Workflow here on Product Hunt, we also took it to the developer community on DevHunt.

Today, Savyre is #1 Product of the Week on DevHunt! https://x.com/devhunt_/status/20...

What has been even more encouraging than the ranking is the feedback. Developers are asking about codebase impact analysis, context preservation, consistent reviews, local-first security and using Savyre on their own repositories.

It s validating the idea behind Savyre: AI coding doesn't just need faster code generation, it needs a better engineering workflow around it.

Hey Product Hunt!

My team and I launched Akievo on here today, and I am really excited about it.

Hey p/self-promotion!

Launching Canvasvid on PH today and would genuinely love honest feedback from this community.

Hey there,

I ve spent the last few months fixing a specific developer bottleneck: Manual Data Seeding.

As developers, we ve all been there, writing custom scripts just to link a `user_id` to an `author_id` across multiple mock API calls. It s tedious, error-prone, and kills your momentum.

Hey Product Hunt community!

We're currently expanding Cash Never Sleeps and building out 24 new AI growth and automation playbooks for our library.

Right now, we're mapping out:
Web scraping & lead enrichment pipelines
Automated cold outreach setups
Custom Claude system prompt sheets & Make.com scenarios

For the founders and agency owners here: What specific manual growth bottlenecks or repetitive workflows are taking up most of your time right now that you wish were automated?

Hey PH community,

We're building Harv - and our pre-release is dropping on the Play Store very soon.

The problem we kept running into is that every productivity app treats you like a machine. Lists, reminders, dashboards. None of it accounts for the days when everything goes sideways.

Harv reads where you're at emotionally before it does anything else. On your worst days, it grounds you. On your best days, it keeps you sharp.
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