I am going to China next month and thinking of picking up a Chinese brand cue like PERI or something, since they are significantly cheaper than for example Predator.
Did anyone experience any those cues? How do they perform?
I've been running AI analysis on trade and service business subreddits (r/smallbusiness, r/dentistry, r/Barber, r/HVAC, r/lawncare) to find software problems that generic tools can't solve. 26,714 posts analyzed, filtered to high-signal only.
The biggest insight: the painful problems aren't about finding customers or booking them — they're about the messy middle of actually doing the work. Here are 5 that surprised me:
1. Dump trailer operators can't stack jobs without cascading failures
> "I got to the landfill at 4:55 pm when they close at 5:00 pm, fully loaded, just because I stacked three pick-ups on top of each other." (223 upvotes)
They stack 3-4 jobs/day but consistently miscalculate drive + load + dump time. Jobber handles scheduling but doesn't know landfill hours, load times, or the "send me a photo of what needs hauled" quote workflow. Growing segment — lots of side-hustlers scaling to full-time.
2. Dental offices have $200K-$500K in equipment with zero lifecycle tracking
> "Chairs, delivery units, compressors, vacuums, sterilization, imaging, and 'why is this beeping right now?' situations"
No system tracks maintenance schedules, predicts failures, or tells them what a specific beep pattern means. Henry Schein sells the equipment but their support is notoriously bad. No standalone tool exists.
3. Landscapers lose half their estimate notes between the yard and their desk
> "When I'm walking a property I just talk through everything out loud into voice memos. Square footage guesses, problem areas, materials I'll need. The transcript goes into a Google Doc template."
They're hacking together voice memos + Google Docs because typing on a phone while standing in someone's yard looking at a drainage problem is impractical. No tool converts "about 2000 square feet of sod" into auto-calculated material costs.
4. Metal fab shops can't price mid-job spec changes without calling the owner
> "A customer changed specs on a job mid-run and nobody knew how to handle the pricing adjustment... Turns out I am the process for about half the things that happen in my shop." (1,106 upvotes)
The #1 post in the entire dataset. Institutional knowledge of "how we price changes" lives in the owner's head. Changing from 1/4" to 3/8" steel plate mid-run affects material cost, machine time, and tooling — no generic PM tool understands this.
5. HVAC companies are sitting on gold mines they can't see
> "The ones printing money aren't chasing big installs. They're sitting on 200-400 maintenance contracts at $15-25/month each... maintenance customers convert to equipment replacements at 3-4x the rate of cold leads."
No tool flags that a 12-year-old Carrier unit in a maintenance contract is approaching end-of-life, or calculates the lifetime value difference between a maintenance customer vs. a cold lead. ServiceTitan is too expensive for 2-10 truck operations.
What I learned doing this: The best opportunities aren't in the crowded "scheduling/CRM/invoicing" space. They're in trade-specific workflows where you need domain expertise to even understand the problem. Generic tools fail because they don't know landfill hours, dental equipment beep codes, or steel plate pricing cascades.
I built Robal Insight to do this kind of research — point it at any subreddit and it produces a full report with quotes and source links. Happy to answer questions about the methodology or findings.