[verdict][prompt curatoriat][sursă: salestouch.io][traducere: la coadă]
Pot să vibecodez SalesTouch?
// valoarea stă în rețea, în date sau în infrastructură
The local CRM and AI drafting layer are straightforward, but SalesTouch's core value is reliable access to LinkedIn's private network: authenticated sessions, live data extraction, residential IP routing, human-paced queues, limits, cooldowns, reconnection, and ongoing adaptation to platform changes. A one-shot clone either stops at manual copy and paste or becomes brittle automation that can put the LinkedIn account at risk.
încredere: ridicată
ce e: LinkedIn MCP for AI agents to research prospects and run outreach workflows
Indice de constructibilitate · joc editorial
- Preț 49 $/lună greutate: plus 3
- Timp o sesiune pentru un cockpit manual; de neînlocuit realist pentru publicarea live pe LinkedIn greutate: minus 3
- Categorie automatizare nu cântărește
- Moat integrări · scara infrastructurii greutate: minus 3
- Încredere ridicată greutate: plus 1
- Ce pierzi 5 elemente greutate: minus 2
- Site salestouch.io (si apre in una nuova scheda) nu cântărește
Moat-ul cântărește mai mult decât prețul: refăcut, e un proiect, nu o seară.
Gioco editoriale: il verdetto dice se un agente può, l’indice se conviene.
Ce construiești
Import or paste prospects, score them from user-supplied context, draft personalized outreach with an LLM, and track manual follow-ups in a local pipeline.
ce îți trebuie
- OpenAI API key
- LinkedIn account
- manual profile and conversation input
Submitted by the maker and judged against the same rubric as every other app.
Promptul
Verdictul e NU CHIAR, iar promptul rămâne oricum: nu înlocuiește aplicația, reconstruiește partea care chiar e cod. Restul e moat-ul.
Build me a local LinkedIn outreach cockpit inspired by SalesTouch. Requirements:
- Node 22 + Express + better-sqlite3; one localhost web app with no accounts.
- Import prospects from CSV with name, company, role, LinkedIn URL, source,
notes, and last-contact date; validate and deduplicate by LinkedIn URL.
- Let me paste profile, company, post, and conversation text into each record.
Never crawl LinkedIn or read browser cookies.
- Store my offer and ICP rules in config.json. Use the OpenAI API to return a
fit score, evidence, a personalized angle, a connection note under 300
characters, a first DM, and one follow-up. Put OPENAI_API_KEY in .env.
- A kanban pipeline: new, researched, ready, contacted, replied, won, lost.
- A Today queue showing due follow-ups and a configurable manual daily limit.
- Each action opens the LinkedIn profile in a new tab and has copy buttons for
the approved text. It must never click, send, invite, comment, or publish.
- Let me paste a new reply, show the complete conversation history, and draft
a suggested response for approval.
- Log every status change and copied draft in SQLite; export prospects and
activity as CSV. Never pretend a copied message was sent.
- Keep all data local. No cloud database, telemetry, background workers, or
multi-user features.
- Explicitly out of scope: LinkedIn login or cookies, scraping, Sales Navigator
automation, residential proxies, auto-sending, engagement, publishing,
multi-account orchestration, and claims that this is account-safe automation.
- README: setup, CSV format, backup path, and an honest explanation that the
tool replaces planning and drafting only, not SalesTouch's LinkedIn execution.Prompt curatoriat: scris și revizuit manual pentru această aplicație. În engleză intenționat — e limba în care agenții de coding se descurcă cel mai bine.
Ce pierzi
- live LinkedIn and Sales Navigator searches and audience extraction
- authenticated messages, invitations, engagement, and publishing
- residential IP routing and resilient LinkedIn sessions
- human-paced queues, limits, cooldowns, and account safety controls
- multi-account orchestration, activity logs, and analytics
De ce se plătește în continuare
They pay for the execution layer, not the dashboard. SalesTouch keeps authenticated LinkedIn sessions alive, turns private network data into agent tools, schedules actions within safety rules, and absorbs the maintenance when LinkedIn changes behavior. Rebuilding the screens is easy; operating the connection reliably without endangering an account is the product.
moat: Integrări Scara infrastructurii ce e un moat
LinkedIn access infrastructure + account safety
Ești de acord?
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