The Situation
We find ourselves in an era of intellectual dishonesty.
In science: AI tools are revolutionizing research – from protein structures to mathematical proofs. Everyone uses them. Hardly anyone admits it.
In journalism: Social media devolved into a battlefield. Quality discourse drowned in clickbait and rage-engagement. What began as a platform for dialogue became a dopamine machine.
Everywhere: Brilliant minds work outside established institutions. Software developers who understand quantum algorithms. Investigative journalists without newsrooms. Retired scientists with time for big questions. Their work is ignored because institutional affiliation is missing.
This is waste.
Our Thesis
Quality is not democratic, but access should be.
The best ideas don't always come from Harvard or the New York Times. But they should get the same chance to be heard – if they meet the same standards.
The solution is not more content, but better curation. Not more reach, but more substance. Not more virality, but more truth.
Deepened, not dipped. We dive deep, not just skim the surface. In research. In investigation. In truth.
What DeepedIn does differently
1. We don't lie about AI
Here, the use of artificial intelligence is not hidden, but documented. Physicists cite their instruments. Journalists cite their sources. Modern researchers cite their digital tools.
Concretely: Every submission declares in structured form which AI tools were used and how. GPT-4 for outlining? Claude for analysis? QuTiP for simulation? Checkbox, transparency, done.
2. Who posts, reviews
There are no spectators without responsibility. Those who want to publish must review others' work.
Asymmetric by Merit:
- • Newcomers: 5 Reviews → 1 Post
- • Established: 2 Reviews → 1 Post
- • High-Rep VIP: Unlimited Posts, 10 Reviews/Month
An award-winning editor-in-chief doesn't have to correct student papers. They review difficult edge cases in their field. That's the deal: Reputation brings privileges, but no exemption from critical thinking.
3. No advertising. Ever
Those who sell ads optimize for attention. We optimize for insight. These are mutually exclusive.
Payment Model Timeline:
- • Now (Phase 1): Free
- • Year 1-2 (Phase 2): Freemium (reading free, publishing ~€10/month)
- • Year 2+ (Phase 3): Institutional Licensing
No banner ads. No tracking pixels. No engagement hacking.
4. Code is proof, sources are mandatory
For research: Claims without reproducible code are opinions. Runnable, understandable verification is mandatory. GitHub, Zenodo, or HuggingFace as standard.
For journalism: Data journalism needs traceable methodology. Analyses need transparent sources. Investigative work needs verifiable evidence.
5. Depth over Noise
The opposite of Twitter. No 280-character fragments. No viral mechanisms. No like buttons.
Instead: Space for long-form. Time for analysis. Platform for substance. An ecosystem where quality is rewarded, not speed.
Who is this for?
For Authors
Scientists outside universities. Journalists who value depth over speed. Analysts whose work is too complex for social media. Indies with substance.
You get access to an audience that values quality. Not the largest, but the best.
What we don't publish:
- • Pseudoscience without reproducible methodology
- • Medical claims without peer review and evidence
- • Conspiracy theories without reliable sources
- • Clickbait, rage-bait, engagement hacking
For Journalists: The Archive, not the Feed
Twitter and Bluesky are for the moment. DeepedIn is for substance.
In the rush of daily business, your best research gets buried. Weeks of work end up as a shortened article that disappears from the feed after 24 hours. Your data, your code, and your methodology remain invisible.
DeepedIn is not a replacement for your Twitter feed. It's home for your "Director's Cut".
Three concrete use cases:
1. Data journalism with proof
Your election analysis in the newspaper: 800 words Your methodology on DeepedIn: Full code, data, reproducible
2. Investigative with source verification
Your article on corruption: The story Your DeepedIn Deep-Drop: All evidence, timeline, documents
3. Toolkit for colleagues
Tutorial: "How to use Benford's Law for fraud detection" With executable Python code, not just text
Show the work behind the story.
Use social media for discourse. DeepedIn for proof.
For Readers
People whose time is valuable. Who don't want to wade through noise. Who are willing to pay when substance is delivered.
You get curated quality. No algorithm that maximizes rage. No bots. No bullshit advertising.
For Institutions
Media building their reputation on quality. Universities promoting open research. Think tanks seeking serious debate.
You get access to an ecosystem where expertise counts and charlatans are filtered out.
For Founding Members
We are small. We will grow organically. This is intentional.
The first 100 authors and reviewers shape DeepedIn:
Your work will be prominently featured
You help define review standards
You will be recognized as Founding Contributors
You get a lifetime discount in the future payment model
You shape the future of transparent knowledge work
We're not looking for followers, but shapers. People who understand that science and journalism in the 21st century can work differently – and must.
What we are not
We are not a replacement for Nature or the New York Times. We are a complement. A place for what doesn't fit there – not because it's bad, but because it doesn't fit the format.
We are not a "social network" in the Silicon Valley sense. No viral mechanisms. No dopamine engineering. No exit strategy for venture capital.
We are not anarchy. Anyone can contribute, but standards remain high. Merit over mass. Substance over reach.
The Reality
The first years will be hard. Without advertising, without VC rocket fuel, without viral growth. But also without conflicts of interest, without exit pressure, without compromises.
This is not a sprint. This is a marathon.
We believe: There are enough people who are tired. Tired of noise. Tired of fake meritocracy. Tired of platforms that treat them as advertising carriers.
There is a market for substance. Maybe not a huge one, but a real one.
The next step
In software development, nobody asks about your degree. Your code runs or it doesn't. Your solution scales or it doesn't. Merit over status.
In investigative journalism, what counts is: Did you research the story thoroughly? Are your sources solid? Does your work withstand scrutiny? Truth over reach.
Why should the platform for this work be any different?
If you're ready for work that doesn't hide – submit.
If you're ready for reviews without institutional bias – register.
If you're ready to evaluate others as you want to be evaluated – become a founding member.
DeepedIn
Deepened, not dipped.
Depth over noise. Quality over scale. Truth over virality.
office@deepedin.com
DeepedIn is an independent platform based in Austria. We are not a scientific institution, not an accredited journal, and not a media company in the traditional sense. We are a technical infrastructure for transparent knowledge production. All published content is the responsibility of the respective authors. Details in the terms of service.