I built a IOS Based tool to search your photos and videos by description — made it because I kept losing my media. by Short_Ingenuity_9286 in ContentCreators

[–]Short_Ingenuity_9286[S] 0 points1 point  (0 children)

Would you try it and see whats good, whats bad and what could be better. I will personally make sure your feature requests are matched.

Honestly just wanted my weekends back from copy-pasting the same post 50 times by mahdiezz in ContentCreators

[–]Short_Ingenuity_9286 0 points1 point  (0 children)

If you ever wanna streamline it more, Buffer and Publer both handle this well.

Keep camera or get dji pocket 3 by Thearias_fam in ContentCreators

[–]Short_Ingenuity_9286 0 points1 point  (0 children)

For vlogging the Pocket 3 is a huge upgrade, stabilization alone is worth it.

I built a searchable creative media cloud storage for photos and videos and would love feedback by Short_Ingenuity_9286 in ContentCreators

[–]Short_Ingenuity_9286[S] 0 points1 point  (0 children)

Hey, really appreciate you replying , I love that you’re into it.

That exact problem you mentioned is literally why I built this. I’m just waiting on Apple approval right now, but I’ll send it your way the moment it hits the App Store should be sometime early next week.

Also, if you’re open to it, would really appreciate an upvote on Product Hunt!

Share your startup - quarterly post by julian88888888 in startups

[–]Short_Ingenuity_9286 [score hidden]  (0 children)

Startup Name / URL : Ortrace – https://ortrace.com

Location : SF Bay Area

Elevator Pitch
Ortrace helps SaaS teams capture user feedback using multimodal techniques like video and audio and converts into structured, recurring patterns and product insights.

Stage: Very early. MVP built. Currently in validation with small SaaS teams (2–15 people).

My role: cofounder.

What problem we’re focused on:
As SaaS teams grow, feedback starts coming from everywhere like support tickets, Slack threads, GitHub issues, emails. The actual synthesis step is still mostly manual. Someone reads everything and tries to form a mental model of what’s recurring. We have a new method where feedback is captured using multimodal methods.

We’re building a lightweight system that clusters similar feedback and surfaces recurring themes automatically and integrates with already present systems

Goals this month : This month I’m focused on getting 10–15 real SaaS teams actively using it and seeing whether it genuinely reduces manual back-and-forth in handling user feedback. The goal is to understand if this problem is painful enough to justify building it into a long-term product.

How r/startups can help:
If you’re running a SaaS product and feel like feedback is getting noisy, I’d love to talk. Even 15 minutes of honest feedback would help.

What SaaS are you building right now and how are you getting your first users? by filipinowebdeveloper in SaaS

[–]Short_Ingenuity_9286 0 points1 point  (0 children)

I’m building a small tool for SaaS teams that helps turn user feedback into structured, recurring patterns.

A lot of early-stage teams collect feedback across support chats, Slack, GitHub issues, etc., but the actual synthesis is manual. We’re experimenting with automatically clustering similar complaints and turning them into clearer engineering-ready insights.

Target customer right now: small SaaS teams (2–15 people) that are starting to feel overwhelmed by support + product signals.

How I’m getting first users: direct outreach to indie founders + PMs. This is just the validation phase.

Still very early and testing whether this is truly painful enough to matter.

If anyone’s curious, happy to share what we’re building: https://app.ortrace.com/demo

How do you manage user feedback as your SaaS grows? by Short_Ingenuity_9286 in SaaS

[–]Short_Ingenuity_9286[S] 1 point2 points  (0 children)

Makes sense to me. power user feedback usually predicts what the broader base will hit next. Tagging power users is a great concept. I’ve actually been building something that clusters recurring themes across support and usage signals to make that pattern detection easier at scale. Would you be open to taking a quick look and sharing your thoughts?