Self-Promotion
p/self-promotionShow off what you're working on
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27d ago

I built a free tournament bracket tool solo. 5,000+ organizers later, what should it do next?

Hey PH,

I m Pablo, a game developer from Uruguay. I kept running into tournament tools that were complicated, paywalled, or didn t update live for players, so I built VERXUS.

What it does:

  • Swiss, League (round robin), Groups, Playoffs, Double Elimination, and Nations 48 (a 48-team World Cup style format)

  • Live viewer link so players and fans follow scores in real time, plus stream links for Twitch, YouTube, Kick and others

  • Co-organizers can run the same tournament from any device

  • Best-of series, two-legged ties, bracket reset, and Match-Up scoreboards for tennis and volleyball style scoring

  • Champion cards and PNG/PDF export to share results

  • Free, no signup, 15 languages

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27d ago

Most marketers and founders ship on gut and pretend they don’t

I ll go first: most of my calls, headlines, positioning, which angle to run, start as gut. Then I take them to ChatGPT or Claude to pressure-test before anything goes live.

At some point I realized that s where all my work actually happens now. I am in the agent all day. So leaving it to go test something somewhere else felt backwards.

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26d ago

Your chat has 1,000 questions. Which ones actually matter?

Introducing ReversePoll a better way to run community Q&As.
Ever wondered how creators can make sure the most important questions don't get buried in a flood of chat messages?
ReversePoll lets communities prioritize questions through voting and contributions, helping creators focus on what their audiences actually want answered.
Built for streamers, creators, and online communities.
Check it out: https://reversepoll.com

demo video:


I'd love to hear what you think!

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1yr ago

Worklog

Hello team,

recently I started to write a worklog. I.e. Whatever i work on, i was just putting there on a daily basis.

Eventually writing self-reflection became extremaly easy because I had everything in one place at the end of H. Then it became a good habit in general - I became better organized, i was planning ahead, had better 1:1s with manager etc.

So to keep it short, i have started a pet project for that. It s not released yet and i want to conduct some initial feedback.

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4mo ago

Why do we still rely on resumes for hiring?

Have you ever wondered why we still rely on resumes for hiring, even though research shows they aren't the best predictor of job performance?
I've spent my career in casting and matchmaking, which are all about finding and reading talented people. When I started exploring hiring, I expected a more thorough process. Instead, I noticed the industry mainly depends on keyword matching and job titles, despite decades of proof that behavioral and values-based assessments predict success and retention much better.
I'm really curious to hear your thoughts:
Is it just tradition? Do resumes seem more legally solid than structured interviews? Is it because they re quick to scan at scale, even if they don t say much? Or maybe we just haven t yet developed the tools to do it differently on a large scale?
I've been working on Rh yo, a SaaS platform that scores candidates and roles based on fit and values rather than keywords and titles. I don't think resumes will disappear overnight, but I'd love to know what it would take to change the way we do things.

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26d ago

I built DaytaBrain because projects kept reporting “green” right up until they failed

So here s what happened. I spent over a decade in IT project management, and I kept seeing the same thing: a project reports green on schedule and budget, leadership feels good, and months later it misses the outcome it was approved for.

I wanted to know if it was just me. So I interviewed 20 senior leaders in 8 countries. The research was published in PM World Journal. 15 of the 20 described the same pattern without being prompted.

The status wasn t wrong. It was answering the wrong question.

Leaders were spending 20 to 60 hours every reporting cycle assembling updates. One told me that even with all that reporting in place, he still re-checks the numbers himself because he can t trust what reaches him. Others described teams quietly holding back red statuses until they couldn t anymore.

Most project tools track whether work is on schedule. They don t ask whether the project will still deliver what it was approved for.

So we built something different. DaytaBrain watches the assumptions behind each project, things like staffing will hold or adoption will hit 60%, and ties each one to the numbers that would show it breaking. When capacity drops 18% and velocity drops 15%, it doesn t just show two red numbers. It tells you the staffing assumption is no longer holding, what that puts at risk, how many weeks you have to act, and what to do next.

No prompts, no chat. You open a project and know in about 5 seconds whether it s really OK.

It s called DaytaBrain. I m looking for 50 people to try it free for 30 days on 2 real projects, every feature included, and tell me honestly what s missing.

Would love to hear if you ve seen a green project fail. What did the status miss?

New bar inventory app, please test it out for me

Hi everyone,

I've been in the restaurant industry for years and always can't believe that most places still estimate by looking at it. I've created an app to address that w/ weight based accuracy and the functionality, ease of use and reporting that I feel is all very useful in bar inventory. Please let me know what you think. Anyone wanting to test the app let me know and I'll invite you.

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5mo ago

EMA-Gated Temporal Sequence Compression in Vision Transformers - No fine-tuning required

Vision Transformers waste 90% of their compute recalculating stationary asphalt. NeuroFlow tracks semantic surprise in embedding space, physically eliminating background tokens before the encoder.

Result: 55.8x wall-clock speedup for ViTs on high-res video (1792p) with 97% fidelity. No fine-tuning required.

NeuroFlow is a dynamic routing framework for Vision Transformer video inference. It exploits temporal redundancy by tracking per-patch embedding-distance threshold via an Exponential Moving Average (EMA) of patch-level embeddings, effectively answering the architectural mismatch between O(N2) self-attention and highly redundant natural video streams.

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4mo ago

Hundred AI products launch every week. How do you even get noticed?

This isn't about marketing budgets or viral TikTok videos. It definitely isn't about screaming AI, because lets face it, no product is releasing without atleast one AI feature.

It's about one thing: positioning clarity. We are learning this the hard way building Toward.One

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6mo ago

Building a complete operating system for Indian MSMEs

Hey Product Hunt,

I am Jai.

I want to tell you about a problem

that 63 million people have right now

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