Revoca AI

@heyblake revocaai.xyz

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@SafockAI revocaai.xyz

Builders. Drop your product. No pitch. Just link

@ben_callow Yes, You are correct. The reasoning is not stored in docs. But imagine for some remote startup where we integrate every platform like zoom/huddle, slack, discord, jira, github, etc. In short, every platform where your team is present is helping you.

@revoca_ai Exactly the failure mode that's hardest to see coming. Curious how you capture the "why we did it this way" — that reasoning rarely makes it into any doc, and it's usually where the real gap is.

This week we had to reroute tasks twice after a model change. Not because the work changed, but because routing logic was scattered. That’s the quiet cost of putting model routing inside app code: every model swap becomes a mini integration project, and your retry rates climb while you hunt down where the decision is being made. My current take for UK SMEs building agentic automation: make your automation layer (n8n) the canonical owner of model routing. What I mean by ‘model routing’ - choosing which model handles which task (classify, draft, extract, critique) - when to fall back to a cheaper or more reliable model - when to refuse and ask for more context Why n8n is the right place 1) One place to change behaviour. Swap a model once, not across three services and a queue worker. 2) Observability becomes real. You can log: input → route decision → model → output → retries, in one workflow. 3) Governance is simpler. You can enforce rules (PII handling, prompt versions, allowed tools) where the work is orchestrated. 4) You can add reliability patterns without a rewrite: canary routes, timeouts, circuit breakers, and ‘try local RAG first’ before you even hit a big model. Trade-offs (it’s not magic) - If you’re doing ultra low-latency, embedded routing in code can still make sense. - If your team treats n8n as a toy, you’ll recreate chaos. Workflows need versioning, reviews, and metrics like any other system. A practical first step Pick one noisy workflow and move just the routing decision into n8n: add a router node that selects the model, logs the decision, and tracks retry rates before/after. You’ll learn fast where the failure modes really are. If you’re building with n8n + local RAG, I’m curious: where does your routing logic live today, and what’s your current retry rate? #n8n #AIAutomation #AgenticAI

@thissdave We are shipping fast. Follow us to stay tuned.

@revoca_ai Recova is brewing

This is exactly what we are solving. We are unifying knowledge across different platforms and building a single agent of truth. Now, no more blockers if your senior is on leave or busy. Let us handle the knowledge part and you focus on shipping more. Check us out at: revocaai.xyz

This is why exactly we are building. We are unifying all sources and making sure that employees on leave don't block others, people leaving don't create knowledge gaps and the top leadership has complete insight of company. For end user, we are smoothening onboarding, support and operations.

The place this breaks: when the person who owns the workflow leaves. No documentation, no handoff, no automation — just tribal knowledge that walks out the door.

This is why exactly we are building. We are unifying all sources and making sure that employees on leave don't block others, people leaving don't create knowledge gaps and the top leadership has complete insight of company. For end user, we are smoothening onboarding, support and operations.

Businesses lose institutional knowledge constantly.. not just when people leave. It also disappears when roles shift, when projects get busy, and when the pace of work crowds out any time for structured communication. The construction industry normalizes this. It's treated as a cost of doing business in a high-turnover environment. But high turnover is not an excuse to stop building retention systems. It's exactly the reason to build them.

This is why exactly we are building. We are unifying all sources and making sure that employees on leave don't block others, people leaving don't create knowledge gaps and the top leadership has complete insight of company. For end user, we are smoothening onboarding, support and operations.

Last year our best team member quit. Two weeks notice. Nothing dramatic. Just moving on. Within 48 hours the walls caved in. Nobody knew her process. Nobody knew her shortcuts. Nobody knew why she handled certain clients differently or what her priority system looked like. The client relationships she maintained started cracking immediately. Because the knowledge was never in the company. It was in her head. And her head just walked out the door. We had admired the talent. Praised it. Built entire functions on top of it. But we never documented it. Never made it company property. We treated a person like a system and then acted shocked when the person left and the system collapsed. Now every key person documents what they do, how they think, and why they make the decisions they make. Not because we don't trust them. Because we don't trust dependency.

@DeadForStella Hey @DeadForStella, thats awesome. I think this space has huge potential and a lot to build. Would love to discuss more about what you offer.

@revoca_ai I’m working on the same thing. We’ve deployed to 200 clients. Let’s talk

@Above_web3 Right now, we are very early. Still building but the best part is how we stand out. We are capturing how signals triggered on different platforms are connected. We are building a smarted search tool with reasoning. We will update more here and release some demos. Stay tuned.

@revoca_ai Strong take,this is a real pain point most teams ignore until it hurts. If Revoca AI can truly preserve decision-making context across tools, it’s a game changer for continuity and scale. Curious to see how it handles nuance and evolving

Most companies lose their best context when their best people are out. A senior engineer goes on leave → 3 projects stall. A PM quits → 6 months of reasoning walks out the door. Meet Revoca AI: The context layer your company runs on. We capture decisions, reasoning, and signals across Slack, Discord, GitHub, Jira, etc so your company keeps moving, no matter what. Book a quick demo call calendly.com/revoca-ai/30min

@NitishaAgrawal3 1. When senior people go offline, projects stall. 2. Companies loose context behind "why" of decisions. 3. Leadership has no real-time view of why things are slowing down. Revoca is the context layer that fixes all three. revocaai.xyz

Hey builders What real problem your product is solving I’ll rate the usefulness of as many as I can. Do the same. Deal? 🤝

@ProductHunt Context layer for companies revocaai.xyz

pitch your product in 5 words or less 👇

@TaiTechSolution @ClimStefan That sounds good

That makes sense 👍 and honestly, that’s where most early traction comes from. The gap right now isn’t your product it’s that you’re not present where people are already talking about the problem you solve. For something like Revoca, those conversations usually happen around: • knowledge loss in teams • onboarding inefficiencies • “how do we retain internal knowledge?” • tooling discussions for documentation / AI workflows That’s where Reddit performs well not as a promo channel, but as a problem-discovery channel. The play is: • enter those discussions early • add insight (not pitch) • let the product come in naturally when it fits That’s how you start getting: • qualified users • real feedback • and consistent inbound instead of manual reach outs If you want, I can map a few exact subreddit angles + example threads where Revoca would fit naturally 👍

Drop your product below 👇 Feedback day! I want to see what you're building. This counts as marketing. This brings traffic. This gets you followers. Last time seen by over 6800 people. Let's go!

@TaiTechSolution @ClimStefan Growth right now is through referrals, reachouts and direct product discovery. Not very significant presence on X/reddit

That’s a strong positioning already you’re clearly solving a high-cost knowledge loss problem, which is exactly the kind of thing that doesn’t need more features right now, it needs sharper distribution into the right conversations. If you’re actively shipping weekly and focusing on onboarding, the missing layer is likely not product velocity it’s controlled demand capture around the “context loss” pain you’re already describing. Where founders in your category typically win: not “AI context layer” messaging (too abstract) but scenario-based entry points like: “engineer left and everything broke” “why does nobody know why this decision exists anymore” “we lost 6 months of reasoning in Slack/Notion/Git” Those narratives map directly into Reddit + X builder communities and convert far better than product positioning posts. This is exactly where structured Reddit execution matters not posting more, but placing specific pain narratives inside active threads where teams already complain about this problem. That’s what drives onboarding. From what you’re saying, you’re in a good phase to start channelizing growth properly rather than just shipping features. Are you currently getting inbound users from Reddit/X already, or is growth still mostly coming from direct product discovery?

@TaiTechSolution @ClimStefan Right now, We are shipping new features every week and are actively focusing on growth and onboarding new customers.

Randomly came across your project earlier, and it honestly feels like one of those products that deserves far more attention than it’s currently getting. Not in the usual “just do more SEO” sense, but the kind of visibility that actually brings the right users and real conversions. Quick question — are you actively focused on growth right now, or is the project more in a steady/maintenance phase? I ask because I’ve been working behind the scenes on a few growth strategies, particularly through Reddit communities where the right positioning can bring surprisingly high-quality users when done properly. If it’s relevant, I’d be happy to share a few ideas. Cheers.

Revoca AI: the context layer your company runs on. Problem: when a senior engineer goes on leave, projects stall. When a PM quits, 6 months of "why we built it this way" walks out the door. We capture the reasoning behind decisions across various platforms so context doesn't disappear when people do. Check us out at revocaai.xyz

Hey founders 👋 If your product solves a real problem, drop it here and tell us what problem it solves. I’ll rate the usefulness of as many as I can. Do the same. Founders support founders. Deal? 🤝

This is exactly what we're building. Revoca turns scattered context across different platforms into a living map of how your company actually works. So decisions don't stall when people are offline, and AI agents have something real to operate on. Check us out at : revocaai.xyz

Building Revoca AI, the context layer your company runs on. We capture the "why" behind decisions across Slack, GitHub, Jira, etc so workflows don't stall when key people go offline. We are currently beta-testing with few companies onboard. Looking for more companies to partner. Check us out at revocaai.xyz

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