Pre-seed pitch deck · May 2026

Apricot News

Stop consuming noise. Start gaining intelligence. The world's first automated news synthesis engine.

Confidential v2.0 14 slides
01The problem

Every article was written from inside a frame.

Outlets have angles. Editors have bosses. When you read the news, you read one person's understanding of events, not the events themselves.

CNN · Reuters · The Guardian

Trump declares end of US-Iran war as ceasefire takes effect

President says hostilities are over. White House announces phased de-escalation.

Frame · diplomatic resolution
Fox News · NY Post · Telegraph

US Navy seizes Iranian tanker hours after ceasefire claim

Strait of Hormuz remains contested. Iran rejects framing of the conflict as resolved.

Frame · conflict ongoing
Al Jazeera · Press TV

Iran says fighting will resume if US blockade continues

Tehran calls ceasefire claim premature. Regional analysts question Washington's framing.

Frame · asymmetric standoff

Same day. Same story.You'd come away with three different worlds depending on which one you opened.

Apricot News
02The insight

There is plenty of information. Not enough sense.

The gap is not access; it is context. Without background, multiple frames, and an honest accounting of what is contested versus what is settled, news is just noise. Every reader is asked to do the synthesis themselves, and almost no one has time.

No product synthesizes across sources, social signals, and historical context simultaneously, at scale, without an editorial frame. Aggregators stop at headlines. Bias trackers stop at scoring. Newsletters add another voice. None of them give the reader the picture behind the door.

Apricot News reads every frame at once and produces one coherent document. The reader sees the events, the disagreement, the social signal, and the history that led here, all in one place.

Apricot News
03The solution

Three synthesis tracks. One coherent document.

For every Story, three Claude pipelines run in parallel. They merge into a single Master Document, the source of truth for everything the reader sees.

SOURCES PER STORY 3A News synthesis Reads every source. Anchors facts in 2+ Tier 1 outlets; surfaces disagreements; flags single-source claims. 3B Social synthesis Reddit threads + Grok's read of X over 30 days. Maps the narratives, the viral posts, and what mainstream missed. 3C Historical context Players, institutions, prior events. Generated once per Story; permanent. New actors trigger appended add-ons. STAGE 4 Master Document Single source of truth. Stored as structured JSONB.
Apricot News
04The product

What the reader sees.

The Daily Brief SAT 2 MAY 2026 TIMELINE apr 18 · escalation apr 22 · strikes begin apr 28 · ceasefire claim may 02 · live WORLD · 142 SOURCES Trump Says the War Is Over. His Navy Is Still Seizing Ships. Iran Says Fighting Will Resume. HERO IMAGE · TIER 1 SOURCE Confirmed facts Article · 1,000 words SOURCE INTELLIGENCE Opinion ↔ Factual 68% FACTUAL · TIER 1 WEIGHTED Left ↔ Right −0.2 · NEAR CENTER Sources used (sample) Reuters · T1 · Op 1 AP · T1 · Op 1 CBS News · T1 · Op 2 Washington Post · T1 · Op 2 Al Jazeera · T2 · Op 3 + 137 others Coverage gaps
Story page anatomy
A
Headline + summary
A headline that surfaces contradictions instead of resolving them. Five sentences underneath that say what is established, what is contested.
B
Confirmed facts, sourced
Three to eight bullets, anchored in 2+ Tier 1 outlets. Every line links to its sources.
C
One-page article
News, social signals, and historical context, woven together. Around 1,000 words. No jargon, no hedging.
D
Left rail · Story Timeline
Every meaningful update logs a timeline node. Hover for the diff, click for a frozen snapshot of what was true at that moment.
E
Right rail · Source Intelligence
Bias and opinion meters across all sources used. Per-source credibility tier. Coverage gaps surfaced.
Apricot News
05The pipeline

Six stages. Zero editors.

Stages 1 and 2 run continuously, watching for new stories. Stages 3 to 5 fire per Story. The reader sees only Stage 6.

01 · INGESTION News APIs · RSS · scraper · YouTube Continuous · 15-min loop 02 · CLUSTERING 3+ sources, 6-hour window Story candidate created 03 · PARALLEL SYNTHESIS 3A News synthesis Trust-weighted, attributed 3B Social synthesis Reddit + Grok narratives 3C Historical context Permanent · add-ons 04 · MASTER DOCUMENT All three tracks merged. Stored as JSONB. Ground truth. 05 · FRONTEND GENERATION Headline · summary · bullets Article · infographic specs 06 · PUBLISHED STORY Live on the web. Living, updated. Reader-facing UPDATE ENGINE · 30-MIN DIFF/PATCH/TIMELINE NODE · NEXT PHASE
Apricot News
06Why now

Three forces, all hitting at once.

01 · MODELS

The Synthesis Threshold has been reached.

Claude Sonnet now reads forty sources at once and produces a synthesis sharper than any single journalist could write from the same material. This was not true two years ago.

200K
tokens of source
per Story, single pass
02 · TRUST

The Trust Deficit is a market opportunity.

Readers know they are being spun. They have stopped asking which outlet is right; they want the synthesis layer above the news. The audience for honesty is growing, not shrinking.

31%
US adults trust
the press (Gallup, 2025)
03 · INPUTS

The data plumbing finally exists.

GNews, Reddit, YouTube Data API, Whisper, Grok via browser, and headless scraping all run at production quality and consumer cost. The full-text-everywhere problem is solved.

~$0.40
marginal cost
of a fully synthesized Story
Apricot News
07Monetisation

Free to read. Premium to go deeper.

Earn the audience first — the core product is free. Revenue follows traction, unlocking a premium intelligence layer on top of the engine.

Phase 1 · Free forever
The automated
news engine
Aggregate hundreds of sources. Cluster into Stories as news breaks. Synthesise across every frame and publish — continuously, without an editorial team. Every reader gets this for free.
Breaking stories synthesised from 100+ sources
Multi-frame synthesis, no editorial spin
Living stories, updated as events evolve
Source Intelligence panel on every story
Phase 2 · Premium — unlocked once we have traction
01
Deeper Analysis
Extended breakdowns beyond the free story: full narrative maps, contested-facts reports, source conflict analysis, expert opinion synthesis. For readers who need to fully understand a story, not just follow it.
02
Personalised Feed
A curated story feed built around your topics, regions, and preferred sources. Priority alerts when your subjects break. The engine learns what matters to you — without creating a filter bubble.
03
On-Demand Topic Intelligence
Submit any topic or question. The engine queries across all sources, synthesises, and returns a full intelligence brief — on demand, in minutes. Your own analyst, without the analyst.
Apricot News
08Competition

No one is doing news, social, and context together.

Google News Apple News Particle.news Ground News AllSides Apricot News
Multi-source synthesis · · summary only partial ·
Social signal layer · · · · ·
Historical context · · · · ·
Rich media (photos, video, charts) partial partial photos only · ·
Source bias transparency · · ·
Living stories with timeline · · · · ·
Zero editorial frame · · · · ·

On Particle.news. The closest reference. It summarizes news and pulls in some photos. It does not synthesize across sources, does not include social signals, does not generate historical context, and does not surface bias. Ground News and AllSides treat bias as the product; we treat it as a single input among three.

Apricot News
09Moat

Four compounding factors.

None of these are pricing or distribution. They are structural advantages that get harder to copy each month we run.

01

Source intelligence database

Human-curated trust ratings, seeded from AllSides and Ad Fontes, refined every time a new source is added. Not AI-generated. Hand-built and proprietary.

compounds with every source
02

Master Document corpus

Every Story we run becomes a permanent, structured record. The archive itself becomes valuable: a searchable history of how stories were covered, what was contested, and how the framing shifted.

compounds with every Story
03

Three-track architecture

Combining news, social, and context in one coherent document is technically and operationally hard to replicate at speed. The interaction effects between tracks are where the synthesis quality lives.

tightens with every prompt iteration
04

Trust weighting system

The rules that decide what counts as anchored versus contested versus single-source. Tuned over hundreds of dry runs. Provably reduces single-source bias in the final document.

tightens with every Story
Apricot News
10The product in action

Stories the engine has already written.

Three stories processed end-to-end through the pipeline. No editors. No brief. Just sources in, intelligence out.

World
142 sources · Ongoing
Trump Says the War Is Over. His Navy Is Still Seizing Ships. Iran Says Fighting Will Resume.
Three mutually exclusive framings — diplomatic resolution, ongoing conflict, asymmetric standoff — synthesised into one coherent document. Contested claims flagged. Single-source assertions noted.
Reuters · AP · Fox · Al Jazeera · +138 others
Technology
89 sources · Developing
OpenAI's New Model Claimed to Outperform Doctors. The Research Behind That Claim Is Disputed.
Press releases framed as breakthroughs. Independent researchers flagged methodology gaps. Social synthesis surfaced the replication thread that mainstream coverage missed entirely.
MIT Tech Review · The Verge · Nature · Reddit r/MachineLearning · +85 others
Economics
67 sources · Breaking
Fed Holds Rates. Markets Rallied. Economists Are Arguing About What It Actually Means.
Financial press emphasised the pause. Left-leaning outlets foregrounded inequality data. The historical context module surfaced the 1994 precedent that reframes the whole debate.
FT · Bloomberg · WSJ · The Guardian · +63 others
Apricot News
11Where we are

Architecture-complete. Pre-revenue. Building.

No fake metrics, no hockey-stick projections. Here is what is built and what is next.

Product blueprint v2.0 complete
All six pipeline stages specified. Trigger rules, source intelligence, update engine architected.
Stage 3A prompt written and dry-run validated
Synthesis tested against the US-Iran ceasefire story. Surfaced contradictions no single outlet captured.
Source Intelligence architecture designed
Trust weighting, rating database, AllSides + Ad Fontes integration spec'd.
UI prototype shipped
Card feed with category navigation, source counts, expandable Story view in the prototype's editorial style.
Tech stack selected and validated
Next.js, Supabase JSONB, Claude API, Vercel, GNews + Reddit + YouTube. All running in dev.
13-phase build plan sequenced
Each phase a verifiable deliverable. No stage requires more than four weeks.
Apricot News
12The ask

$25K to get the engine live and the first stories published.

$25K
Bootstrap round · 6-month build
Use of funds
AI + data APIs
Claude API, GNews, Reddit, YouTube. Covers synthesis costs for the build and first months of live operation.
60%
Infrastructure
Supabase, Vercel, domain, monitoring. Production-grade from day one.
24%
Design + polish
Story page, card feed, brand. The product has to look like it means it.
16%

What this gets us

  1. Pipeline live end-to-end — stories published automatically as news breaks, no manual intervention.
  2. First 50 readers, recruited from the people already asking for this product.
  3. Three months of real usage data — what gets read, what gets shared, what keeps readers coming back.
  4. Proof the unit economics work before raising anything larger.
The logic
The hard part is already done. The pipeline is designed, the prompts are validated, the stack is chosen. This round covers the cost of running it — not building a team.
Apricot News

Every article was written from inside a frame. Apricot News reads them all.

Apricot News

contact · team@apricot.news