qorqbot is proactive qorqbot runs on subscriptions you already pay for - Claude, Codex, and more. It is provider-agnostic and built for business workflows and complex, long-running tasks qorqbot manages your attention, and gets work done in the background. it learns from you, without you actively teaching it, and synthesizes your preferences, workflows, and context naturally qorqbot is not a harness - it sits around your harness, providing operational, context, UX, and self-adjustment layers
Its Alp again - presenting Qorqbot. Qorqbot is a provider-agnostic proactive agent for business workflows and complex, long-running tasks, powered by the AI subscriptions you already pay for (codex, claude, etc.).
It learns how your processes, hierarchy, context, and the way you like things done.
It carries work forward in the background and brings you the decisions that need your attention.
Signoffs gate sensitive actions and decisions, pending your approval. Its self-learning system adapts to your needs, preferences, and culture as you work with Qorqbot. Operational layer provides UX for you and the agent to work with clients, CRMs, tables, and communications. Agentic layer gives you natural way to build custom skills, workflows, and tools with easy plug-and-play architecture.
Qorqbot started as a personal assistant for me, and main issue with top labs' agents was the provider lock-in. I do not want to build operations for my business on Grok, just for them to hike the rates. I also am not a fan of sharing my very personal data.
I designed the system around these features: Proactive Agent: I want my guy to only stop working when there is not much else left to do. I want him to reply to emails as they come, manage my clients relationships (we have integrated CRMs), and be able to execute multi-step protocols/workflows.
Easy integrability: Since the code is open, anyone can adjust the qorqbot for their usecase at any depth level - they can add a new layer, or add a new operational object type, or adapt the chat interface to use their custom models.
Deep Tailoring & Protocolization: Overseer (special agent meant only for tailoring the system to you) agent reads your transcripts, threads, and comments, and suggest "deltas" to the agentic layer. This goes beyond preferences - Overseer has full ability to add new skills, make new plugins, formalize workflows, create and edit tools. It has full control over the harness that Qorqbot runs in.
Its still early access, and I run full operations entirely myself (+ qorqbot), and I am actively looking for bright partners!
The signoffs are what would make or break this for me. I run everything solo, so the boring middle — triaging, drafting, chasing — is exactly what I'd want to hand off, but only if I can trust the gate on anything client-facing. Curious how it decides what needs a signoff versus what it just does, and whether the Overseer learning from my transcripts ever picks up a habit I'd rather it didn't.
running on the claude and codex subscriptions people already pay for is a smart call. congrats Latif!
Bringing decisions back for a signoff is the part I'd pay attention to. Keeping the approval tied to the exact draft or action would help when background work changes between the request and the decision.
Overseer is the part I'd want. I do it by hand weekly, reading my agent sessions and turning misses into rules. does it ever drop a rule that went stale?
signoffs gating the sensitive actions is what would make me ok letting it answer client emails, nobody wants an agent replying fully on its own in week one
when Overseer suggests a delta to the agentic layer, do you review it before it goes live or does it apply right away??? feels like the place where one small mistake spreads acros every workflow
About qorqbot on Product Hunt
“Proactive agent for business work”
qorqbot launched on Product Hunt on November 13th, 2026 and earned 112 upvotes and 10 comments, placing #7 on the daily leaderboard. qorqbot is proactive qorqbot runs on subscriptions you already pay for - Claude, Codex, and more. It is provider-agnostic and built for business workflows and complex, long-running tasks qorqbot manages your attention, and gets work done in the background. it learns from you, without you actively teaching it, and synthesizes your preferences, workflows, and context naturally qorqbot is not a harness - it sits around your harness, providing operational, context, UX, and self-adjustment layers
qorqbot was featured in Developer Tools (523.1k followers) on Product Hunt. Together, these topics include over 93.4k products, making this a competitive space to launch in.
Who hunted qorqbot?
qorqbot was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how qorqbot stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hey PH!!
Its Alp again - presenting Qorqbot.
Qorqbot is a provider-agnostic proactive agent for business workflows and complex, long-running tasks, powered by the AI subscriptions you already pay for (codex, claude, etc.).
It learns how your processes, hierarchy, context, and the way you like things done.
It carries work forward in the background and brings you the decisions that need your attention.
Signoffs gate sensitive actions and decisions, pending your approval.
Its self-learning system adapts to your needs, preferences, and culture as you work with Qorqbot.
Operational layer provides UX for you and the agent to work with clients, CRMs, tables, and communications.
Agentic layer gives you natural way to build custom skills, workflows, and tools with easy plug-and-play architecture.
Qorqbot started as a personal assistant for me, and main issue with top labs' agents was the provider lock-in. I do not want to build operations for my business on Grok, just for them to hike the rates. I also am not a fan of sharing my very personal data.
I designed the system around these features:
Proactive Agent:
I want my guy to only stop working when there is not much else left to do. I want him to reply to emails as they come, manage my clients relationships (we have integrated CRMs), and be able to execute multi-step protocols/workflows.
Easy integrability:
Since the code is open, anyone can adjust the qorqbot for their usecase at any depth level - they can add a new layer, or add a new operational object type, or adapt the chat interface to use their custom models.
Deep Tailoring & Protocolization:
Overseer (special agent meant only for tailoring the system to you) agent reads your transcripts, threads, and comments, and suggest "deltas" to the agentic layer. This goes beyond preferences - Overseer has full ability to add new skills, make new plugins, formalize workflows, create and edit tools. It has full control over the harness that Qorqbot runs in.
Its still early access, and I run full operations entirely myself (+ qorqbot), and I am actively looking for bright partners!