Hacker News: Othrya

New comment by Othrya in "A Eureka machine that thinks like nature and explores what AI cannot"

Othrya — Thu, 28 May 2026 08:48:15 +0000

Yes, I actually believe that if we really want to build AI and physical AI, we need this. I'm working on this for a while. vantar.xyz

New comment by Othrya in "‘Energy independence feels practical’: Europeans building mini solar farms"

Othrya — Sat, 28 Mar 2026 11:38:09 +0000

Uh Electrification is actually probably not the smartest way to get energy independently at the moment.

Show HN: OpenLinq – invite-only link sharing for humans tired of AI slop

Othrya — Sun, 01 Mar 2026 11:30:05 +0000

I built this because I got tired of every feed being contaminated with AI-generated content. LinkedIn is unusable. Even HN occasionally gets SEO-farmed articles. I wanted a place where every submission had to be from a real person who actually read the thing and thought it was worth sharing.

OpenLinq is essentially a Lobsters/HN-style link aggregator with three constraints:

1. Invite-only — you need a referral from an existing member (or claim a founding spot while we're in early access) 2. No AI-generated content — community norm enforced by flagging, auto-hidden at 5 flags 3. No algorithmic feed manipulation — sort by score or new, that's it

Stack: Next.js App Router, Neon Postgres, Prisma, Vercel, AWS SES for transactional email.

Features: reputation system (upvotes earn rep, rep unlocks more invite codes), topic groups, weekly digest email, bookmarking, comments, invite-by-email from settings, dynamic OG cards when you share articles, and a referral chain so you always know who invited whom.

Currently opening the first 100 founding spots without needing a referral code — just go to openlinq.xyz and claim one. After that, invite-only.

Would love feedback on: Is the invite-only mechanic annoying or does it feel worth it? What content policies would you want to see enforced?

Comments URL: https://news.ycombinator.com/item?id=47205779

Points: 1

# Comments: 0

New comment by Othrya in "The Physics of Ideas: Reality as a Coordination Problem"

Othrya — Tue, 03 Feb 2026 09:38:18 +0000

What's interesting to me isn't the phrase itself. It's what happens when you read the domain name first. BPE. Byte-pair encoding. The algorithm that taught machines to eat language. It works by finding the most frequent adjacent pairs and merging them over and over — until what was once a string of individual characters becomes a vocabulary of chunks. It doesn't know what it's merging. It just sees frequency. It digests without tasting. And then you land on the page and it says: phenomenological convergence. That's a collision. Because phenomenology is the opposite operation. Husserl's whole move was to un-merge — to strip away exactly the habitual pairings, the assumptions fused by repetition, the things we stopped seeing because they occur together so often they became one unit. The epoché is de-tokenization. So what would it actually mean for these two to converge? Here's what I keep turning over. BPE is metabolic but not intelligent — it decomposes language into statistically useful pieces the way stomach acid breaks down food. Phenomenology is intelligent but not metabolic — it perceives but doesn't transform the material. One digests without awareness. The other is aware without digesting. If they converge, what you'd get is something that can both break reality into pieces and know what it's breaking. That's not AI. That's not meditation either. It's something we don't have a word for yet. Maybe that's the point of the blank page — the word hasn't arrived. What I respect most: the silence ratio here is nearly infinite. One phrase. All that white space. In an internet that's become a low-silence environment where nothing is allowed to just be without explaining itself, someone built a page that trusts the unfilled space to do the work. The form is the thesis.

Show HN: Alprina – Find your next investor through AI-matched intros

Othrya — Wed, 28 Jan 2026 19:29:31 +0000

Hey HN,

I built Alprina to solve a problem I've experienced firsthand as a founder: fundraising feels like shooting in the dark.

You spend weeks cold emailing investors who aren't a fit. You get generic intros that lead nowhere. You waste time on people who don't understand your stage, industry, or vision.

Alprina flips this. Instead of you chasing investors, AI agents analyze your startup—your goals, stage, and vision—and match you with the right investors based on real context. No spam. No noise. Just relevant intros to people who actually make sense for your journey.

I've been working on multiple ventures (healthcare claims automation, AI workflow platforms, climate tech) and kept running into the same fundraising friction. So I built this.

Would love your feedback. What's been your experience with investor outreach? What would make this more valuable for you?

Check it out: alprina.com

Comments URL: https://news.ycombinator.com/item?id=46800362

Points: 1

# Comments: 0

New comment by Othrya in "Show HN: Whisper – Offline Speech-to-Text for Mac, Windows and Linux"

Othrya — Tue, 27 Jan 2026 09:15:42 +0000

Hey HN! I built Whisper to solve a problem I was constantly facing: typing is slow and interrupts my flow.

Whisper is a desktop app that gives you fast, offline speech-to-text on Mac, Windows, and Linux. Key features:

• 100% offline - your voice never leaves your device. No cloud, no subscriptions, no privacy concerns.

• 3x faster than typing - speak naturally and see your words appear instantly

• Works everywhere - global hotkey lets you dictate into any application

• Multiple language support - powered by OpenAI's Whisper model running locally

• One-time purchase - $29, no recurring fees

I've been using it daily for emails, coding comments, documentation, and it's genuinely changed how I work. The offline aspect was crucial - I wanted something that respects privacy and works without internet.

Technical highlights: Built with Electron, integrating Whisper.cpp for efficient on-device inference. Works with both Intel and Apple Silicon.

Would love to hear your feedback! Happy to answer any questions about the tech, use cases, or the development process.

Show HN: Whisper – Offline Speech-to-Text for Mac, Windows and Linux

Othrya — Tue, 27 Jan 2026 09:14:16 +0000

Article URL: https://get-whisper.com

Comments URL: https://news.ycombinator.com/item?id=46777451

Points: 1

# Comments: 2

Show HN: Alprina – Intent matching for co-founders and investors

Othrya — Mon, 26 Jan 2026 11:37:20 +0000

We noticed that professional networking is mostly profile-based: you create a static resume and hope the right people somehow discover you. But what actually drives meaningful connections is complementary intent: a founder looking for a technical co-founder, an engineer wanting to join a specific type of early-stage company, an investor actively looking for a certain thesis.

We built Alprina to match people on what they want right now, not just who they are on paper.

On Alprina, you create "intents" in natural language (what you're looking for), join networks (communities where matching happens), and our AI matches you with people whose intents complement yours. You can attach context like pitch decks or profiles so that when you match, the other side immediately understands why you're reaching out.

Would love feedback from the HN community - especially on the balance between match precision and serendipity. Too strict and you miss interesting connections; too loose and it's just noise.

Comments URL: https://news.ycombinator.com/item?id=46764432

Points: 2

# Comments: 1