Kris Newlin

Kris from the Viktor team. Been testing Skills internally for a few weeks. The quality gap is not subtle. Without a skill, you get solid general answers. With one, the answers feel like they come from someone who's actually done the job for years. Not the kind of difference you have to squint to see. It's obvious on the first question you ask. Excited for experts outside ads to start building.

Cool bro

agents that actually talk to the team and move tickets themselves is pretty interesting. less meetings, less chasing updates. if this works well with tools like jira or notion, that could save a lot of time. congrats on the launch.

graph + vector + OLTP in one engine is pretty wild. most teams still duct-tape 3 different systems together. if helixdb pulls this off, that removes a lot of ugly infra. definitely one to watch.

I run blog/content and Viktor saves me hours. Because it already sees the Slack context, I don’t have to dig through channels to understand what happened in the company. I just ask and it turns the right updates and discussions into a clean article draft. Feels less like a tool and more like a content coworker living in Slack.

Quick Look should have done this years ago Press space see everything no extracting no opening five apps Clean native no bloat This is the kind of small tool that quietly saves hours

Claude output be looking like it survived a war 😅 Clean Clode just pulls up and says: “aight, we cleaning this mess.” Simple. Useful. Devs needed this.

Congrats on the launch! 🚀 LLM SEO is becoming a must-have, and I like how findable focuses on practical actions (content gaps, competitors, crawl checks) instead of just metrics. Quick question: do you plan to add URL-level audits or country-specific insights?

Privacy-first journaling makes sense. Quick question though - if someone uses ChatGPT/Gemini/Claude, the text still goes to the cloud for processing, right? Even if it’s not stored. Might be worth adding a super clear “what leaves your device” explanation in-app. That’s the trust breaker.

Cool concept, but hourly ranking on raw payment data can get messy fast. Refunds, annual plan spikes, Stripe/Paddle latency that can artificially pump or drop companies on the board. How are you normalizing it? Any smoothing or confidence score, or is it just raw growth spikes? Without filters, it’s easy to confuse real momentum with noise.

Unit test generation is one of the few AI use cases that actually makes economic sense - high repetition, clear feedback loop, deterministic validation. Curious how you handle edge-case discovery vs. just mirroring the happy path logic. Do you actively try to break the code (mutation-style thinking), or are the tests primarily derived from static analysis of the implementation? Also interested...

OpenClaw is powerful, but setup friction kills it for most people. 1-click isolated servers is the right move. The real differentiator will be trust permissions, visibility, and cost control. If you nail that, this becomes infrastructure, not just hosting.

Claude meets Wikipedia’ is a strong positioning. The real unlock isn’t better answers it’s continuity of curiosity. Most AI chats reset your intellectual momentum every session. If Heuris can compound interest on what you explore, that’s powerful. The difference between random rabbit holes and structured curiosity is retention. Curious how you think about depth vs. breadth over time do you...

Telepathic’ is a bold claim. But if you actually nail tone + thread context + zero retention, that’s a real unlock. Most AI writing tools optimize for sounding better. The hard problem is sounding like you. If Lightfern can reduce cognitive load without flattening personality, that’s where it wins. Curious how you think about long-term memory vs. situational context that balance is everything...

Race Mode is the real signal here. Parallel bets > one polite consensus. Most builders waste months debating instead of testing. If Atoms can compress research → build → revenue into tight validation loops, that’s leverage.

This is dangerous in a good way. Most people skim and feel smart. This actually forces structured thinking on top of what you read. The ‘state of the art map’ angle is strong if it truly separates signal from noise in 10 seconds, that’s serious leverage. Curious how you prevent analysis overload with 35+ tools though. Power is great but clarity wins.

Never compacts’ isn’t a feature, it’s a mentality. Most agents lose the plot like a junior pushing to prod on Friday at 5pm. This isn’t about cute summaries, it’s about decision-grade memory. If you truly preserve those rare constraints from three hours ago, that’s a real shift. Everything else is just context theater.