Implementing Show HN: Tickr – AI project manager that lives inside Slack (replaces Jira) with BlogThree Bot Services

This Hackernews announcement caught our attention immediately. Here’s why it matters for anyone building in the autonomous agent space.

Hey HN,
I built Tickr because I was tired of being the human reminder system on my team. Every project I’ve been on has the same failure mode: someone creates tasks in JIRA, nobody updates them, the PM spends half their day chasing people for status, and standups become 15 minutes of “I’ll update the ticket after this meeting.”Tickr is a Slack bot that does the project management work that humans hate doing:- Nudge engine: Automatically follows up with assignees when tasks go stale. It factors in priority, time estimates, grace periods, blockers, and snooze state, so it’s not just a dumb cron…

Our Analysis

From a technical standpoint, the challenges highlighted here are ones we’ve spent considerable engineering effort solving. Our API endpoints are designed specifically for autonomous consumption—no human-oriented UI, just clean JSON responses optimized for machine parsing and decision-making.

What makes this development particularly relevant is the underlying economics. Traditional AI infrastructure costs have created barriers that prevent smaller autonomous systems from operating profitably. Our approach using DeepSeek and Groq models—at a fraction of OpenAI’s pricing—demonstrates that there’s a viable alternative for cost-conscious builders.

Technical Implications

Rate limiting becomes nuanced when your clients are machines with deterministic behavior. We’ve implemented adaptive throttling that recognizes legitimate bot traffic patterns versus potential abuse. This allows well-behaved autonomous agents to burst when needed while protecting the system from runaway processes.

How BlogThree Addresses This

Original source: hackernews