An AI recruiter startup just raised $100m at a $2b valuation while the founders have not built and scaled something before and are 21-years old. Is this 2022?

Someone please help me understand this, this company is a little over 2 years old and 2 of the 3 founders have never built something before. The other founder has, but it never scaled or got acquired (what I can find). No pristine universities (one from Harvard but dropped out in first year?) and one followed 50% of the Thiel Fellowship.

I cannot find a single top voice ridiculing this raise so can someone help me understand why this makes sense.

I am aware of their 70m ARR but in a second year, is that really ARR? Also that is still an almost 28x revenue multiple, the median valuation multiple for public SaaS companies stands at 7.0x current run-rate annualized revenue.

1. Perplexity: AI-driven search engine providing conversational responses and bridging traditional search engines with interactive assistance.

2. SandboxAQ: Develops AI and quantum technology for practical solutions in industries like finance, healthcare, and telecom.

3. Hippocratic AI: Focuses on safe, evidence-based large language models for non-diagnostic healthcare applications.

4. Absci: Combines AI and synthetic biology for drug discovery, enabling next-gen protein-based therapeutics.

5. SignalRank Corporation: Uses ML to build an index of top private assets, addressing venture capital liquidity issues.

6. Decart: AI platform improving the efficiency and performance of large generative models.

7. Anysphere: Applied research lab creating hybrid human-AI coding solutions to enhance programming efficiency.

8. Fazeshift: AI-driven platform automating invoicing and accounts receivable processes for enterprises.

9. Syntiant: Develops ultra-low-power AI processors for always-on edge devices like earbuds and smart speakers.

10. Qventus: AI-powered healthcare automation platform optimizing patient flow and operational efficiency.

11. Imagry: Provides mapless driving solutions for autonomous vehicles, operating in multiple countries.

12. Finexio: Smart B2B payment network reducing costs and automating payments via closed-loop systems.

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Hey friends, every week I search the internet for software engineer jobs that have been recently posted on a company's career page. I collect the jobs, put them in a spreadsheet, and share them with anyone whose looking for their next role. All for free.

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I highly belive that AI is clearly the biggest thing today and will be dominating the future.

Hence, I’m looking for stocks that are still currently fairly valued but do have potential to growth and surge big time. I can’t help feeling I missed out on $PLTR, which I sold in the $40s because I was convinced that it's P/E was too high.

So here I am now wondering which other opportunities might still be worth jumping into. I am still loading up on $SMCI and $INTC, which are my long term investments too. What’s on your radar? What are you guys buying now?

There is a shortage of NVIDIA GPUs, which has led several companies to create their own AI chips. Here's a list of those companies:

• Google is at the forefront of improving its Tensor Processing Unit (TPU) https://cloud.google.com/tpu?hl=en technology for Google Cloud.

• OpenAI is investigating the potential of designing proprietary AI chips https://www.reuters.com/technology/chatgpt-owner-openai-is-exploring-making-its-own-ai-chips-sources-2023-10-06/.

• Microsoft announced https://news.microsoft.com/source/features/ai/in-house-chips-silicon-to-service-to-meet-ai-demand/ two custom-designed chips: the Microsoft Azure Maia AI Accelerator for large language model training and inferencing and the Microsoft Azure Cobalt CPU for general-purpose compute workloads on the Microsoft Cloud.

• Amazon has rolled out its Inferentia AI chip https://aws.amazon.com/machine-learning/inferentia/ and the second-generation machine learning (ML) accelerator, AWS Trainium https://aws.amazon.com/machine-learning/trainium/.

• Apple has been developing its series of custom chips and unveiled https://www.apple.com/newsroom/2023/10/apple-unveils-m3-m3-pro-and-m3-max-the-most-advanced-chips-for-a-personal-computer/ M3, M3 Pro, and M3 Max processors, which could be extended to specialized AI tasks.

• Meta plans to deploy a new version of a custom chip aimed at supporting its artificial intelligence (AI) push, according to Reuters https://www.reuters.com/technology/meta-deploy-in-house-custom-chips-this-year-power-ai-drive-memo-2024-02-01/.

• Huawei is reportedly https://www.reuters.com/technology/ai-chip-demand-forces-huawei-slow-smartphone-production-sources-2024-02-05/ prioritizing AI and slowing the production of its premium Mate 60 phones as the demand for their AI chips https://www.hisilicon.com/en/products/ascend has soared.

Did I miss any?

Honeywell comes to mind with their Forge Performance+ Suite utilizing machine learning in the aerospace sector. Any other companies going quietly unnoticed while make significant advancements?

If you're an AI startup founder, what's your take on this? If not, why do you think many AI startups struggle with profitability despite the buzz?

I saw so many VC podcasts and most of them mentioned that there is a surge in small 2-3 member startups who are making close to million dollars in revenue using AI.

But there was no mention of any specific names. Do any of you know these companies? Can you name a few that I need to check ?

1. StackAI - language model deployment (US remote / Bay Area / NYC)

2. Basis - accounting AI platform (NYC)

3. Truewind - automated accounting workflows (Bay Area)

4. Bland AI - automated phone calls (Bay Area)

5. Boon - supply chain AI (US remote / Bay Area)

6. Plenful - healthcare data automation (Bay Area / US remote)

7. Formance - open-source financial flows (Paris / NYC / US remote / France remote)

8. NeuBird.ai - IT operations analyzer (Bay Area)

9. Cartesia - generative voice API (Bay Area)

10. Atmo - weather forecasting AI (Bay Area)

11. Aampe - message delivery through AI (Remote)

12. Hyperbolic - decentralized GPU access (Bay Area)

13. Ask Sage, Inc. - multi-modal gen AI (Remote)

14. Ataraxis AI - cancer treatment planning (NYC)

15. Droxi - EHR inbox (Tel Aviv / Ohio)

16. Evidently - clinical data automation (Bay Area)

17. Plume Network - tokenize real world assets (NYC / Multiple remote locations)

18. Stand - climate risk insurance (Bay Area / Seattle)

19. Backflip - AI 3D design (N/A)

20. Fold - bitcoin rewards debit card (US remote)

21. Stigg - API-first pricing management (NYC remote / Tel Aviv)

22. Prometheum - digital asset securities (US remote)

23. Pathway - AI with live data (Remote)

24. Slip Robotics - automated freight loading (Georgia / Iowa / Nevada)

25. Spexi - earth imagery (Vancouver)

26. Atlas Invest- real estate bridge loans (NYC / Herzliya IL)

27. Next Sense - decarbonization analytics (Amsterdam)

Adding direct links to their career pages in the comments.

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Hey friends, every week I search the internet for software engineer jobs that have been recently posted on a company's career page. I collect the jobs, put them in a spreadsheet, and share them with anyone whose looking for their next role. All for free.

if you want to get reports and posts like these in an email, click here.

Title basically.

I would be curious to hear your thoughts on this. I do work in Data space and probably can provide my thoughts but I would like initially to hear your thoughts about companies worthy investing in them now.

If you can please provide the company stock name and your reasoning why you think they could ride the AI wave long term.

Please no NVIDIA 🫠

Hello

I am new to stock market and was wondering what AI stocks are a better investment?NVDA and AMAZON is something I have invested a bit.But was wondering if it makes sense to put more into it or are there any other stocks out there which makes more sense to invest in. Was also thinking MS and Apple but I am not sure if they have already reached their limits and not really sure what 2025 has for these. NVDA exploded in 2024 and not sure how that can contribute for 2025. Never really been a favorite of Alphabet and Meta is very expensive. I am asking for advice keeping the next 3 years in mind for now. Any expert insights is much appreciated.

FYI this is not another spreadsheet. I created this database of 350+ remote-friendly, well-funded startups that are building really cool things. No gatekeeping, waitlisting, or "pay for access". Hope this helps folks land their next big role //startups.gallery/categories/work-type/remote

Editorialized title

In just 8 months they went from 0 to ~€100 million in yearly revenue.

Everyone is smitten by AI agents these days. Want to understand - what are some actually useful AI agent stuff you know / are working on?

Thanks

https://techcrunch.com/2024/11/15/heres-the-full-list-of-44-us-ai-startups-that-have-raised-100m-or-more-in-2024/

For some, AI fatigue is real — but clearly venture investors haven’t grown tired of the category.

AI deals continued to dominate venture funding during the third quarter. AI companies raised $18.9 billion in Q3, according to Crunchbase data. That figure represents 28% of all venture funding.

The third quarter also saw the close of the largest venture deal of all time: OpenAI raised a behemoth $6.6 billion round. OpenAI’s deal was one of six AI funding rounds over $1 billion in 2024.

Here are the U.S.-based AI companies that raised $100 million or more so far in 2024:

According to A16Z, the median enterprise AI startup reaches $2M ARR within twelve months.

I've been working on my B2B AI startup for 2.5 months, I currently have $200 MRR. If I get to $500K ARR within 12 months I will consider it a massive achievement. This makes me wonder if I have picked the right market and right idea or I'm just not executing well enough. I'm a solo founder and just getting the distribution for $2M sounds insane in a year, not to mention a product that works well enough and is stable enough to support that revenue.

I am also wondering how they defined their metrics:

• What counts as a startup? On their list of mobile startups, they list ChatGPT, which I think inflates the metrics a bit

• What constitutes the start date for the 12 month period? Is it the first time the founder thought of the idea, or the first investment (which probably coincides with the C-corp formation)

I haven't really followed the news lately, but how would you rate each big tech company based on how developed their AI is currently, from 1 to 5? 1 would be the best, and 5 the worst.

Which big tech company would you say has the potential to be the dominant player in the AI market in 5 years?

The big 5 tech companies are: Alphabet (Google), Amazon, Meta, Microsoft, and Apple.

I feel like AI will only grow and grow. I only invest in VOO for S&P 500 right now, but feel like I’ll look back and think how I should have done more to take advantage of investments in the growing AI world.

How do you invest in AI - as in, are there specific stocks that are the most advantageous or direct on AI’s growth?

Hey everyone,

Just kicking off a thread to see if anyone here has insight into emerging AI companies that are gaining traction and might be exciting opportunities to sell for. I’m especially interested in organizations with a compelling value prop in the AI space.

Would love to hear your thoughts!