process 01 / 05
$ connect sources
ok site: online
ok telegram: online
ok forms: queued
Sites · Bots · AI automation
Sites, bots, and AI systems for real tasks.I build sites, bots, and AI automation for real tasks.
Landing pages, bots, scrapers, catalogs, and AI tools — from an idea to a working result.From a promo page and Telegram bot to a scraper, catalog, AI assistant, or internal tool. I turn an idea, data, and manual process into a working interface.
LandingTelegram botScraperAI assistantCatalogDashboard
terminal
process 02 / 05
$ extract structure
ok schema loaded
ok field map resolved
ok content parser attached
process 03 / 05
$ dedupe records
ok duplicates grouped
ok conflicts tagged
ok empty fields marked
process 04 / 05
$ validate output
ok required fields passed
ok risky records held
ok review queue ready
process 05 / 05
$ publish interfaces
ok site synced
ok bot synced
ok dashboard ready
command 01
Connect sources
Sites, Telegram, forms, catalogs, and boards converge into one intake stream.
output
site: online
output
telegram: online
output
forms: queued
command 02
Extract structure
Text, media, requests, and cards become fields, relationships, and statuses.
output
schema loaded
output
field map resolved
output
content parser attached
command 03
Clean and merge
Duplicates, empty fields, and conflicting records get a clear status.
output
duplicates grouped
output
conflicts tagged
output
empty fields marked
command 04
Validate quality
QA holds risky records before publishing and shows where manual review is needed.
output
required fields passed
output
risky records held
output
review queue ready
command 05
Publish outputs
The clean stream lands in a site, Telegram bot, API, catalog, or operator panel.
output
site synced
output
bot synced
output
dashboard ready
terminal
sergei-system:~$ run dirty-data-loop
[01] connect --sources site telegram forms catalog
ok site: online
ok telegram: online
ok forms: queued
[02] extract --llm --schema task_loop --media
ok schema loaded
ok field map resolved
ok content parser attached
[03] dedupe --strict --merge-conflicts
ok duplicates grouped
ok conflicts tagged
ok empty fields marked
[04] validate --qa-gates --before-publish
ok required fields passed
ok risky records held
ok review queue ready
[05] publish --site --bot --api --dashboard
ok site synced
ok bot synced
ok dashboard ready
done: loop synchronized
run progresssystem ready
operator panel
command 01
Connect sources
Sites, Telegram, forms, catalogs, and boards converge into one intake stream.
output
site: online
output
telegram: online
output
forms: queued
command 02
Extract structure
Text, media, requests, and cards become fields, relationships, and statuses.
output
schema loaded
output
field map resolved
output
content parser attached
command 03
Clean and merge
Duplicates, empty fields, and conflicting records get a clear status.
output
duplicates grouped
output
conflicts tagged
output
empty fields marked
command 04
Validate quality
QA holds risky records before publishing and shows where manual review is needed.
output
required fields passed
output
risky records held
output
review queue ready
command 05
Publish outputs
The clean stream lands in a site, Telegram bot, API, catalog, or operator panel.
output
site synced
output
bot synced
output
dashboard ready
proof / mechanics
Proof, not promises
Family Tree demonstrates cards, relationships, and media. Facebook Scraper demonstrates data collection and structure. BanBao demonstrates a working marketplace, catalog, and AI assistant.
marketplace proofBanBao: marketplace, catalog, and AI assistant
Open BanBaoA marketplace with listings, catalog data, collected sources, and an AI assistant.Local listings and services, cards, collected data, and answers over that data. The mechanics map closely to matching services, catalogs, and multi-role platforms.Demo
PeopleRelationshipsStoriesMedia
Demo
Family Tree Demo
People cards, relationships, media, and a public product interface.
Product UIFamily treeSupabaseVercel
Apify Actor
texttimestampauthorengagementpostUrlphotos[]
+NJSON
Apify Actor
Facebook Group Posts + Photos Scraper
Collection, structuring, filtering, and export of Facebook group data.
ApifyStructured JSONMonitoringHidden photo grids
sergei-system:~$ match --task --working-mvp
common briefs
Does this look like your task?
The same product mechanics repeat across matching services, booking, bots, dashboards, and internal systems. Build the core user journey first, then add integrations and growth.
Roles
Profiles
Search
Requests
Notifications
Moderation
Matching service / marketplace
Roles, profiles, filters, requests, reviews, and moderation.Two or more roles, profiles, cards, search, filters, requests, reviews, and moderation.
Telegram bot + web panel
Requests, statuses, notifications, and a web control panel.Request intake, statuses, notifications, users, and data managed through a clear web panel.
Booking, scheduling, and orders
Services, schedules, slots, rescheduling, and reminders.Services, schedules, available slots, confirmations, rescheduling, payments, and reminders.
Scraper and monitoring
Sources, filters, deduplication, and notifications.Multiple sources, filters, deduplication, a database, Telegram alerts, and editable settings.
AI assistant over your data
Answers over documents, catalogs, or an internal knowledge base.Search and answers over documents, catalogs, CRM, or an internal knowledge base with sources.
Internal dashboard / CRM
Users, statuses, tables, control, and export.Users, roles, requests, statuses, tables, reporting, export, and process control.
runtime manifest
Stack
The stack follows the task: the first working release, its data, integrations, and the path to grow it.
OpenAICodexLLM pipelinesstructured extraction
PythonPlaywrightApifyBeautifulSoupPostgres
TypeScriptNext.jsTailwindshadcn primitivesSupabase
Telegram APIDockerGitHub ActionsVercel
Contact
Have a similar task? I will turn it into a clear first release.
Describe the users, core journey, data sources, and what absolutely must work in the MVP.
Break it down in Telegram
Describe the task, users, data, and must-have features for the first version.I will reply with the MVP scope, stages, timeline, budget range, and recommended stack.