Showcase
Send photos to a bot. Get back a living collection — timeline, map, film, even a magazine.
pixachat turns a Telegram or WhatsApp chat into a living media collection — solo or shared. Forward text, photos, video, files, voice notes or a location to the bot, and it lands in a pixa: a timeline with per-item GPS on a map. Invite members with a QR code or deep link into either chat app. Describe a transformation in plain language and an AI builder compiles it into a reusable layer — magazine, ad page, research brief — exportable as a WYSIWYG PDF. Every reader sees the pixa in their own language, originals preserved. Share it public by link or keep it private with scoped share tokens.
One bot, two chat channels. Text, photos, video, files, voice and locations sent to the bot land in a shared pixa's timeline. One account serves both Telegram and WhatsApp — WhatsApp contacts get triaged and linked in with a one-tap handshake.
AI type builder. Describe a transformation in plain language and it compiles into a reusable 'type' program — a generated backend plus sandboxed frontend — applied as a named layer on top of the base timeline. Turn the same raw material into a magazine, an ad page, or a research brief.
What you see is what prints. Any layer, or the base timeline, exports to PDF by vector-printing the live page in headless Chrome — the job fails outright rather than silently mis-rendering.
▶ Film. An AI-authored direction, including a soundtrack pick from five music beds, compiles the pixa's items into a scene-by-scene show that keeps working as new items arrive. The 🌐 toggle switches each viewer between translated and original text during group playback.
GPS to place. Items with location data get geocoded to a place name and a static map, with a built-in map view and live-location tracking for members.
Translate-on-view. One profile language drives everything — item text, layer content, UI, and bot messages. Originals are always preserved; each reader sees the pixa in their own language automatically.