Part 1 The problemWhy teams need this
01 · THE PROBLEM
Buyers ask for recommendations on Reddit every day, and the first useful answer tends to win. Nobody has time to search Reddit by hand several times a day, so those threads go unanswered or get answered by a competitor.
Part 2 How it worksWhat it does, step by step
02 · WHAT IT DOES
Every six hours it searches Reddit for the phrases your buyers use when they're looking for help, filters out the noise, and sends the fresh threads to Slack. You get to answer while the conversation is still alive.
03 · HOW IT RUNS
Step by step, as built.
Build the searches
Turns your keyword list into Reddit search queries.
Search
Runs the searches against Reddit.
Filter
Keeps new, relevant threads and formats them into readable alerts.
Alert
Posts the threads to Slack with links.
04 · TOOLS AND APPS
Built around the systems already in the process.
05 · WHEN SOMETHING BREAKS
Failure is designed in.
Standard on every build
- Schema validation before downstream writes
- Retry and error routes for external API failures
- Duplicate-safe processing and idempotent updates
- Human approval where the action carries business risk
- Execution logging for support and audit review
Part 3 The impactWhat it's worth, and how we'd build yours
06 · PROJECTED IMPACT
What it should change in the business.
Projections for a typical deployment. The calculation below shows the math, and you can put in your own numbers.
07 · ROI CALCULATION
How it pays back in your business.
The starting numbers are a hypothetical deployment sized to the projections above. Change any of them to your own volumes and costs, and the math updates underneath.
- Full-time equivalent freed
- 0.1 people
- Gross value
- $9,120
- Running cost
- −$24
- Return per $1 of running cost
- $380
The math: 120 manual searches × 10 min × 12 months × 95% ÷ 60 = 228 hours a year × $40/hour = $9,120. Net value = gross value − $24 running cost a year.
08 · HOW WE'D BUILD YOURS
How we'd build yours.
- Discover: map the current process, systems, volumes, owners and exceptions.
- Design: define the canonical data model, approvals, retries and system boundaries.
- Build: implement credentials, nodes, validation and observable error routes.
- Prove: run controlled data through success, duplicate and failure scenarios.
- Operate: publish runbooks, ownership and measurable service levels.
