The AI newsletter generator and LinkedIn post generator that sounds like you.

Feed DiaIQ a webinar, meeting or recording and it writes newsletters, LinkedIn posts and carousels from what was shown and said, in your voice, not generic AI output.

Feed it knowledge, get content that's truly yours

Existing Blog Posts

Tone & style matching

Get Started

Import your company's published content so the AI matches your established tone, structure, and style. Every new piece reads like it came from the same author.

Example

Feed in 5 existing blog posts. The AI learns your formatting, vocabulary, and paragraph rhythm — then applies it to every new draft.

Your Blog PostSTYLETONE-MATCHED
SEO-Safe

Content that ranks — not content that's penalized.

Search engines penalize detectable AI content. DiaIQ produces content so deeply rooted in your real knowledge, voice, and expertise that it's indistinguishable from human-written work.

Because every draft is built from your actual presentations, your voice profile, and your reference materials — not from pattern-matched templates — the output reads like you wrote it.

No AI fingerprints. No ranking penalties. No detectable patterns. Just authentic, expert-level content that search engines reward and readers trust.

From Weeks to Hours

Content becomes refinement, not creation

Creating content is no longer a manual, tedious task. Feed in a recording, refine with persona & context, and review a polished draft — whatever the format.

Before
  • 1–2 weeks per piece
  • Writing from scratch
  • Manual research & outlining
  • Reformatting for every channel
After DiaIQ
  • Feed in a recording
  • Enrich with persona & context
  • Review a polished draft
  • Publish to any channel in minutes

A week of content, in an afternoon.

When creation shifts from writing to reviewing, every format scales — blogs, carousels, newsletters and threads alike.

4x/dayContent pieces you can publish
28x fasterCompared to creating by hand
MinutesTo review & refine vs. days to create

Typical turnaround by format

~1 hrBlog post
~15 minLinkedIn carousel
~20 minNewsletter
~10 minSocial thread
Examples

See what DiaIQ creates

One recording, reshaped into every format your audience consumes — drafted autonomously, ready to ship. Click any example to enlarge.

LinkedIn carousel
Sarah Chen · 1stStaff Engineer · Streaming Platforms2d ·

Most teams pick Kafka Streams or Flink for the wrong reasons. Here's how their state rebuilds actually differ in production 👇

STATE REBUILDSKafka Streams
vs. Apache Flink
Swipe →
State-Rebuilds-Explained.pdf1 / 6
21437 comments · 12 reposts
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Blog post
ENGINEERING

State Rebuilds: Kafka Streams vs. Apache Flink in Production

Stateful stream processors accumulate state from event streams over time — and when business logic changes, that state may no longer be valid.

Rebuilds in Kafka Streams

Application state lives in local state stores backed by changelog topics. A rebuild means resetting consumer offsets and re-materializing those stores from scratch.

StreamsBuilder b = new StreamsBuilder();
b.stream("orders")
 .groupByKey()
 .count();
X thread
Sarah Chen @sarahbuilds

Stream processing windows, explained without the jargon. Tumbling vs. sliding vs. session — and when each one quietly wrecks your latency. 🧵

WINDOW TYPES
TumblingSlidingSession
1/7
48 126 893 24K
Show this thread
Meeting summary
Architecture ReviewJun 10 · 47 min
+2 attendees

TL;DR — Moving ingestion to event sourcing; Flink for stateful joins, Kafka Streams stays for lightweight aggregations.

Checkpoints
  • 04:12 Kickoff & scope
  • 12:30 Decision: event sourcing
  • 28:05 Flink vs. Streams trade-offs
  • 41:50 Owners & next steps
Action items
  • Draft migration plan @maria
  • Spike Flink savepoints @theo
  • Benchmark replay cost @sam
Newsletter
The Streaming Digestto me
9:02 AM

Event-driven patterns that actually scale

ISSUE #14

Hi there,

This week we unpack event sourcing, CQRS, and the moment choreography starts beating orchestration — pulled straight from Tuesday's architecture review.

Read the full issue You're receiving this because you subscribed · Unsubscribe
Documentation
docs.acme.com/streaming/windowing
Guides / Windowing

Choosing a window type

Windows group an unbounded stream into finite chunks so you can aggregate over them.

Tumbling windows

Fixed-size, non-overlapping intervals — every event lands in exactly one.

.windowedBy(
  TimeWindows.of(ofMinutes(5)))

Content generation
questions, answered

Yes, and it starts from video. Give DiaIQ a webinar, a conference talk, a customer call or a recorded meeting and it turns the video into a blog post: the structure follows what was presented, the slides and diagrams that were on screen are placed where they were discussed, and the wording follows your voice profile. You refine the draft in chat and publish it as Markdown, to your CMS or as a pull request to your Hugo site.

Yes. DiaIQ is an AI newsletter generator that starts from your own material: a webinar, a customer call, a recorded talk or a slide deck. It extracts what was shown and said, drafts the newsletter in your voice, lets you refine it in chat and publishes it to your email tool or as Markdown.

Yes. Paste a recording or a stream URL and DiaIQ writes LinkedIn posts from the moments that matter, with the slide or diagram that was on screen at that point. Each post is grounded in your recording, not in a generic prompt, so it reads like you wrote it.

Yes. The LinkedIn carousel generator turns a talk or webinar into a swipeable document post: one slide per key point, with the original visuals reused where they fit. Export it as a feed-ready PDF or push it straight to LinkedIn.

That is the point of building from your recordings. DiaIQ uses your voice profile, your reference material and the actual words you used on the call, so the draft matches how you write. You refine tone and structure in chat before anything is published.

Blog posts, meeting summaries, social threads for X and LinkedIn, executive reports and any custom type you define with your own pre-processor. One recording can feed every format at once.