# Ivelina Dineva

Ivelina Dineva shares startup funding intelligence through EverythingStartups, tracking venture fund announcements and startup funding rounds and highlighting resources and funding opportunities for founders.

- Profile: https://b2binfluencer.marketing/creators/ivelina-dineva/
- LinkedIn: https://www.linkedin.com/in/ivelina-dineva-nft
- LinkedIn followers: 75,057
- Topics: artificial-intelligence, startup, venture-capital
- Based on 10 dated posts, latest 2026-10-07

## Summary

Ivelina Dineva is useful for concise startup funding intelligence and founder funding opportunities.

- Best for: A B2B startup data platform expanding funding intelligence resources fits best.
- Not for: An enterprise cybersecurity vendor selling to security practitioners does not fit.
- Check first: Confirm sponsorship terms, disclosure requirements, and post-level analytics before committing budget.

### Takeaways

- AI featured strongly in a roundup of 10 U.S. startup funding rounds.
- September 2026 fund post reported 55 funds and $16.8B capital.
- NSF Seed Fund post gives phase amounts, eligible technology areas, deadline.

## Main ideas

- **AI is absorbing funding and spreading across sectors**: Dineva treats AI as the main story in both new fund formation and the largest private rounds, arguing that it is no longer a standalone category. AI’s significance lies not only in attracting the most money but also in appearing alongside infrastructure, robotics, defense, healthcare and manufacturing—a shift that changes how founders and investors categorize companies.
- **Headline totals hide how concentrated the money is**: Dineva’s recurring point is that a big aggregate number doesn’t mean the money is widely spread. A handful of funds and companies take most of it, so founders should look at the top of the list, not just the total.
- **Most new funds are small and focused on seed**: Dineva’s fund data challenges the impression left by the biggest raises. The typical new fund is modest and invests early—a useful guide for founders deciding whom to approach. Most activity is among smaller seed funds.
- **Non-dilutive government funding belongs in the same conversation as venture capital**: Dineva presents public funding programs as a practical option for founders, highlighting the no-equity terms as a reason to pay attention. The coverage extends beyond venture rounds to funding that doesn’t cost founders ownership.
- **Make the post useful, then send readers to the full data set**: Each post gives readers a concise summary, then points them to the same maintained resources: the post is the entry point, the database the product. Those links let the posts stay short while carrying plenty of figures.

## Work to read

- [The 10 biggest U.S. funding rounds of the week](https://www.linkedin.com/posts/ivelina-dineva-nft_286b-raised-by-10-startups-in-a-single-activity-7512874249179639808-P4zk)
- [What $16.8 billion in new VC funds looked like in September](https://www.linkedin.com/posts/ivelina-dineva-nft_vcs-announced-168-billion-in-new-capital-activity-7513237724561240064-LJCM)
- [A practical guide to NSF's non-dilutive Seed Fund for deep tech founders](https://www.linkedin.com/posts/ivelina-dineva-nft_psa-for-deep-tech-founders-the-us-government-activity-7513591235379507200-cv6Y)

## Brand relationships

- **EverythingStartups** (disclosed_partnership)

## Partnerships

The three available posts contain no partnership program, sponsor policy, rate card, or media kit. Nothing in the three available posts describes a paid placement format, so no format is listed here. What the posts do show is Ivelina Dineva promoting their own resources — an EverythingStartups newsletter, a new VC funds database, and an accelerator list — from the body of the posts themselves, which is self-promotion rather than sponsorship inventory. Individual partner names or hashtags would not by themselves establish a paid arrangement, and none appear in the posts. The practical position for a buyer is therefore that a paid partnership would have to be negotiated from scratch rather than selected from a published menu: approach through the LinkedIn profile, open with the specific co-marketing idea, and treat scope, deliverables, and disclosure as things to agree rather than things already documented. Because this account rests on three posts, it describes an absence of documented formats in those posts, not a claim that Dineva never accepts sponsorship. If a sponsor page, rate card, or disclosed sponsored placement exists elsewhere, this section may not reflect it.

## Alternatives

- Paul Drecksler: Choose Drecksler over Dineva when the platform is expanding deal-level news for commerce and fintech operators, not fund formation for founders and investors. Drecksler's April 6, 2026 roundup is the closest format match for a data platform to co-brand: a dated list of raises, acquisitions and IPO filings with round sizes and valuations — OpenAI's $122B round at a $730B pre-money, Allbirds' $39M asset sale, SpaceX's confidential IPO filing — plus valuation and backer detail for each item, in a subscription newsletter. A deals database can feed that list, and the closing subscription prompt gives the platform a standing co-branded surface. The August 31, 2026 post on Amazon's delivery-fee structure shows the deal list is paired with independent analysis rather than pure aggregation — the model a co-branded edition would draw on.
- Patti Degnan: Degnan is the better choice when the platform targets security practitioners and buyers and wants a named executive voice and event access rather than recurring data-driven publishing. The May 13, 2026 post offers a concrete template: co-hosting an Andreessen Horowitz AI Security Demo Day fireside chat on investing in security in the AI era, with demos from five portfolio companies and a closing reception with founders and the investing team. An investor-data platform could add a live data readout or co-authored briefing to an event like this. The August 19, 2026 post announcing a CISO appointment at Glow offers a second anchor at the buyer level rather than the publisher level.
- Keith Peiris: Peiris is the better choice when the platform wants a first-person operator account of why structured data matters, rather than a curator who ranks a list. The March 26, 2026 post lays out a complete technical argument: the problem is not MCP or the model, but CRM, transcript and event data that isn’t structured for reasoning. The fix is schema normalization, duplicate and merge-conflict resolution, entity enrichment, and replay into a single chronological timeline per customer, run in a persistent Python sandbox rather than a context window. For a data platform, that makes Peiris a natural technical collaboration or customer-story partner; the post itself ends by inviting readers to test the setup in under an hour. The September 9, 2026 Series A announcement ($47M led by Andreessen Horowitz, over 5,000 companies signed up since November) offers a second surface at the same account, bringing funding news and data-infrastructure detail together.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/