LaunchClear is an independent product, automation, and technical delivery practice operated by Chris.
This repository contains independently prepared capability samples. Each sample shows how LaunchClear would analyze and bound a publicly described project. The materials are provided for review and discussion.
- The samples were prepared independently from public project posts and first-party documentation available on the dates stated in each file.
- The organizations named in the samples did not commission, review, approve, sponsor, or endorse this work.
- LaunchClear and Chris have no client relationship with the organizations named in these samples.
- No private system, source code, configuration, customer data, credentials, or internal documentation was accessed.
- The repository does not claim completed client engagements, client outcomes, or prior commissioned work for the named organizations.
- No project experience, testimonial, customer result, or performance figure has been invented.
- Proposed scopes, schedules, prices, risks, and acceptance criteria remain discussion drafts until both parties confirm them in writing.
| Sample | What it demonstrates | Public-source date |
|---|---|---|
| Chatwoot + AI Support Technical Audit and MVP | Technical discovery, RAG and human handoff boundaries, MVP architecture, first-week schedule, security controls, risks, and acceptance criteria | Sources checked 2026-07-16; public project post dated 2026-06-20 |
| SensorDeck English B2B SaaS Website Capability Brief | Six-page information architecture, English messaging direction, responsive and contact-form boundaries, delivery schedule, acceptance criteria, and two scoped price options | Sources checked 2026-07-16; public project post dated 2026-07-02 |
| Lead-to-CRM release gate sample | Twelve reproducible acceptance checks, duplicate protection, fallback ownership, human approval boundaries, evidence-linked findings, and a bounded retest | Fictional fixture prepared 2026-08-03 |
| Public Repository Signal Notebook | Python, SQLite, data validation, deterministic scoring, sensitivity analysis, accessible SVG charts, tests, and evidence-aware technical writing across 500 public repository records | Fixed public snapshot dated 2026-07-20; sample published 2026-07-22 |
| Localize SaaS for China | A published AI agent Skill with bounded market evidence, bilingual positioning, payment-path checks, channel planning, launch QA, and explicit claim limits | Public Skill repository checked 2026-07-24 |
| Public Trend Signal MVP | A fictional, executable data pipeline with normalization, duplicate control, deterministic ranking, explicit classification rules, a human-review queue, Feishu-compatible CSV output, run receipts, hashes, and tests | Fictional fixture and proof published 2026-07-27 |
| EvidenceGate AgentOps | A credential-free multi-agent repair prototype with machine-readable scope control, sensitive-data blocking, minimal repair proposals, rollback instructions, independent verification, deterministic receipts, and a required human approval terminal | Fictional fixture and proof published 2026-07-27 |
| EvidenceGate for Data Changes | A lightweight DataHub impact-analysis prototype with fixture and authorized CLI modes, schema and ownership checks, downstream-lineage findings, rollback guidance, deterministic receipts, preview-only write-back, and a required human approval terminal | Fictional DataHub-style fixture and proof published 2026-07-27 |
| TypeScript Agent Harness | A credential-free TypeScript tool loop with an allowlist, context bounds, sensitive-input blocking, deterministic receipts, async tools, and a required human approval state before external messaging | Fictional fixture and proof published 2026-07-27 |
| Fictional Image Evaluation Sample | A synthetic dashboard, machine-readable annotations, bilingual evaluation report, five evidence-based findings, acceptance checks, and automated annotation-contract validation | Fictional image and proof prepared 2026-07-28 |
| Developer Tool First-Run Audit Sample | A fictional developer onboarding evaluation with a timestamped evidence timeline, time-to-first-value target, five-dimension scorecard, prioritized findings, acceptance checks, and bilingual request paths | Fictional scenario prepared 2026-08-01 |
| Public review | What happened | Truth boundary |
|---|---|---|
| Vendo website trust links | LaunchClear reported that the public site did not expose shareable privacy and terms destinations. On 2026-07-23, a maintainer supplied the canonical terms and privacy pages and closed the issue as completed. | This was public product feedback. LaunchClear did not implement the website change, was not hired by Vendo, and received no payment. |
Read the disclosure at the beginning and end of each sample before evaluating its proposed approach. Claims about a product, organization, audience, integration, security posture, or commercial result stay provisional until supported by owner-approved evidence.
The samples may be discussed as examples of current analysis and delivery preparation. They must not be represented as commissioned client projects or customer case studies.
Lead-to-CRM AI Workflow Release Gate: USD 139 or RMB 999. The review covers one existing lead-to-CRM workflow, up to two connected systems, and twelve reproducible checks. Delivery includes a workflow boundary map, test matrix, evidence-linked issue log, release recommendation, and one bounded retest. The first report is delivered within 48 hours after complete sanitized inputs, confirmed scope, and verified payment.
Typical review inputs can come from Airtable, Make, n8n, Zapier, forms, webhooks, CRM exports, or replayable logs. Listing a platform describes an eligible review input; it does not claim a paid client delivery on that platform.
The first pass accepts a redacted export, sandbox, replayable logs, or synthetic fixtures. It excludes production credentials, real customer data, destructive operations, security testing, regulated-data review, revenue guarantees, and a new multi-system implementation.
The other samples in this repository remain capability references. They are not separate active sales offers.
The international and mainland China prices depend on a mutually usable billing and payment path. No revenue, conversion, market-access, regulatory, or production outcome is guaranteed.
- Submit a public, sanitized Lead-to-CRM release-gate request in English.
- 用中文提交公开且已脱敏的Lead-to-CRM上线验收需求。
- Use the private email path when a safe first description cannot be posted publicly.
Do not place credentials, API keys, personal data, customer data, private URLs, production exports, or confidential logs in a GitHub issue. Creating a request does not create a contract or start work. Scope, payment, access boundaries, and acceptance criteria must be confirmed separately in writing.
Review the current service scope and fictional sample.
Chris
LaunchClear
Public work: GitHub profile
Email: stomeonst123@gmail.com
Prepared for public review on 2026-07-16. Identity, active offer, and entry points updated on 2026-08-03.