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The Lab / Trades Tech · B2B SaaS
Trayd
Built for the people who fix what breaks.Trayd is a bilingual AI companion for residential HVAC contractors. It handles estimate generation, diagnostic guidance, and callback scheduling — in English and Spanish, from day one.
product graph
Surface ⇄ System
- status
- Beta
- stack
- 08
- metrics
- 04
status
Beta
category
Trades
stack
8
metrics
4
Beta — Phoenix marketTrades Tech · B2B SaaS
// metrics
- EN + ES
- Languages
- $0
- External Capital
- 100%
- Bilingual Coverage
- Phoenix Metro
- Market
// why we built it
Building Trayd taught us that "bilingual from day one" is an architecture decision, not a localization afterthought. The prompt templates, UI copy management, and locale routing need to be designed in before the first component renders. Trayd validated that small trades businesses will adopt software if it matches their actual workflow — the barrier is design, not appetite.
// what it does
- Bilingual UI (EN/ES) — every label, AI response, and notification available in English and Spanish with session-level language toggle
- AI diagnostic companion — natural-language symptom input yields structured system guidance
- Estimate builder — field-input form generates a branded PDF and delivers it via email
- Callback scheduler — lightweight CRM for follow-up management that field techs will actually use
- PWA with offline mode for core workflows on degraded jobsite connectivity
// stack
Next.jsTypeScriptFastAPIPythonSupabaseResendAWS S3PWA
// related work
Case study
Read the full case study
Trades Tech · B2B SaaS system
Surface proof, system proof.
Trayd is a studio proof object: not just a concept page, but a real product with a problem, stack, operating thesis, and route into deeper case-study proof when available.
Build like TraydTrades Tech · B2B SaaS system
Surface ⇄ System
- status
- Beta
- stack
- 08
- metrics
- 04
status
Beta
stack
08
metrics
04
Living architecture
Product ⇄ Engine
The residential trades are a $500B+ industry running largely on clipboards, group texts, and spreadsheets. Existing software was designed for office workers: complex UI, English-only, cloud-dependent, and priced for enterprise procurement.
Build like Trayd- 01ProblemThe residential trades are a $500B+ industry running largely on clipboards, group texts, and spreadsheets. Existing software was designed for office workers: complex UI, English-only, cloud-dependent, and priced for enterprise procurement.
- 02Product surfaceBilingual UI (EN/ES) — every label, AI response, and notification available in English and Spanish with session-level language toggle
- 03System architectureBuilt across Next.js, TypeScript, FastAPI, Python, Supabase, and more.
- 04Studio learningBuilding Trayd taught us that "bilingual from day one" is an architecture decision, not a localization afterthought. The prompt templates, UI copy management, and locale routing need to be designed in before the first component renders. Trayd validated that small trades businesses will adopt software if it matches their actual workflow — the barrier is design, not appetite.
Conversion path
Surface ⇄ System
01
Inspect the product
Trayd is a bilingual AI companion for residential HVAC contractors. It handles estimate generation, diagnostic guidance, and callback scheduling — in English and Spanish, from day one.
02
Read the mechanics
Bilingual UI (EN/ES) — every label, AI response, and notification available in English and Spanish with session-level language toggle AI diagnostic companion — natural-language symptom input yields structured system guidance
03
See related proof
Route into the Trayd case study for the fuller architecture story.
04
Start a similar build
Use the product as evidence for a focused app, AI system, or SaaS engagement.
Proof assets
Real only
Verified asset
Trayd screenshot
Verified product/case-study screenshot for Trayd.
Asset slot
Architecture visual
Use this slot for a richer custom Trayd system diagram or case-study architecture frame.
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Live proof link
Hold for a verified URL, repository, or permissioned proof asset.
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