... Today, I read a TechCrunch article about what investors are no longer looking for in SaaS, or rather, what to avoid if you don't want to lose their interest. The red flags were: Too easy to replicate light AI wrappers, generic horizontal tools, basic CRM clones, generic productivity or project management tools. No real depth products where differentiation is mostly UI and automation, anything without proprietary data, surface-level analytics. Becoming obsolete workflow automation tools that coordinate human work ... ... native team can rebuild your product quickly, investors won't bet on it. So, given all of that, how are you differentiating your SaaS product in the age of AI? Because let's be honest: almost everything can be replicated

... consequences that ripple over time. If your question has a straightforward answer, a search engine is enough. But if your problem involves competing variables, second-order effects, human behavior, and genuine uncertainty that's exactly where AIFlow operates. AIFlow vs. Standard AI Chat: A Direct Comparison Standard AI Chat FunBlocks AIFlow Single perspective 6 8 cross-disciplinary models in parallel Gives you answers Builds your thinking framework Linear text output Structured, visual mind map Generic, domain-specific advice Bold ... ... state the arguments against my position better than the people who hold it." That's an extraordinarily high bar for thinking. Most of us and most AI tools never come close to meeting it. AIFlow doesn't claim to replicate

... increasingly noticing a trend: people use AI for (almost everything), especially for writing texts. it is nothing new, but it started to be annoying (?) The problem is that AI often: fully or largely replicates existing text without adding anything new adds completely pointless things, like a two-line comment followed by writes extremely long comments that no one will actually read The last point might be the most problematic, because: it either wastes the reader s time or the reader ... ... many different prompts and inputs as I could, from the most generic to the most detailed ones, and still, didn't get the results I wanted. That's exactly how you say @busmark_w_nika : AI just largely replicates

... walk through how we approach these questions step by step , using Citable as the working tool among others: 1) Research Identify real prompt demand (not keyword volume) Cluster prompts by intent, persona, and buying stage Establish a clean baseline (replicated runs, frozen personas, citation normalization) 2) Diagnosis Where you re invisible vs

... services. 2) Vertical Startups (The Deep Specialists): Narrow and Deep Areas too complex, highly regulated, and requiring deep domain expertise for Big Tech to touch. This is where the opportunity lies Regulated Industries. The "Depth" that Big Tech cannot replicate becomes our Moat. 2. Why Vertical Now? The real pain points are hidden in the field. Industries like manufacturing, law, IP, and healthcare have complex workflows and regulations that generic AI simply cannot penetrate. "Review this contract." ( Generic ... ... process, allowing patent attorneys to cut drafting time by 75%. 3) Data Moat & Customization Every firm has a preferred "drafting style." Patenty.ai learns this to generate results that feel "native to the firm." This creates a moat that competitors

... industry average. The Numbers: For the highly utilized 0-32K Tokens input range, the model is priced at approximately 1.20 RMB/million input Tokens and 8.00 RMB/million output Tokens . Real-World Example: Tests suggest generating a playable "Minecraft" replica demo cost less than 0.2 RMB using this model. Performance Benchmark: In major programming evaluation sets, Doubao-Seed-Code s overall performance is reported to be only second to the current top model, Claude Sonnet 4.5 , outperforming several other prominent domestic ... ... active error planning and self-correction during development. Let's Discuss: What Does This Mean for the Community? The competition in AI coding is heating up, with models increasingly focusing on the balance between power and budget . A new competitor

... Just when I saw the launch @Hume AI how AI can reliably replicate a voice, it gives me chills. I wrote it under that launch, too, and I'll replicate

... this is only a bubble. Because of two reasons: He argues that attempts by companies like Tesla and Figure to teach robots dexterity through video-based training are unrealistic, since human touch is vastly more complex than robots can replicate. Safety Large humanoid robots are unstable and potentially dangerous. (Just imagine how we thought that in 2000, we would have flying cars. ) Do you think that Humanoids have potential, or is it just a boom (bubble) that is doomed ... ... believe humanoids for living purposes are quite real. I was listening to a podcast with a programmer who owns a humanoid and trains it. The benefit is that as you teach one humanoid something, this knowledge can be replicated

... expect both could help speed up my development workflow. However, actually switching to them seems to be a huge lift. I've downloaded and explored the two apps, but the thought of figuring out which current habits can be replicatedvs. which ones I should completely relearn with the new app's tools is quite daunting. As a result, I haven't re-opened them... I think the ProductHunt community would lean on the side of more experimental and motivated ... ... home for my own projects. Comment from PRIYANKA MANDAL(@priyankamandal): I probably test way more products than I actually keep using. Comment from Wenxi Huang(@wenxi): @yuhongsun96  Have not tried Windsurf. Cursor is nice for being just

... zach_lloyd): @gsmbk  Glad it's working well. I'm going to steal that line. Love at first prompt. That's awesome. I think we have a pretty differentiated spot in the space right now. All of our competitors are either forks of VSCode

... clearly define your target audience: Who are they? What's their knowledge level? What market are they in? What kind of content do they usually consume? What content actually works for them? This is essentially user profiling combined with competitor analysis. Back when we were creating educational content, we'd put a ton of effort into user interviews, benchmarking against others, and even using a PBL (Project-Based Learning) approach to constantly refine our content structure ... ... hefty novel, a song that blows everyone away. But those kinds of works are either the result of industrial-scale production by huge teams, or rare flashes of genius from a select few. The average person simply can't replicate

... same ecosystem. That network alone can change the trajectory of your startup. The pressure . Being in that environment creates external momentum. You feel the push to build, iterate, and ship fast. That kind of accountability is hard to replicate on your own. The signal . It might be a soft benefit, but having YC or another respected accelerator on your resume still opens doors. Investors, partners, and press take notice. So yeah: information is free. But context, accountability, and community still ... ... information, I don't agree with that view that all they are is funding and information: they give you others' belief. The internal networks, tailored resources, and just being surrounded by others building at that pace is hard to replicate

... three tactics from my personal playbook to stand out in a crowded market and get noticed by the LLMs: 1. Don t chase virality. Speak to your target audience. The biggest mistake I see founders make: trying to replicate what s going viral instead of creating content that speaks directly to their audience. I ve had multiple founders point to edgy, viral videos from controversial founders content that performs well with young, technical men and want to copy the format ... ... point, we use AI isn t a differentiator. Models are quickly becoming a commodity. So if you re leading with AI in your one-liner, it s worth asking: does that truly set you apart? When it comes to competitors

... lets you copy any UI component from any web page and converts it to react + tailwind so you can use it in your own projects. What makes us unique is It doesn't rely on AI to "try" and replicate the UI, it gets the styles directly. What inspired you to build your product? What problem were you trying to solve when you built it? Has that evolved? I ve made many AI wrappers in my indie hacking journey ... ... this your first product? If not, what else have you built, or are currently working on? This is my second product. I realized the need to build YoinkUI while building my first product actually. It was a competitor

... least tens of thousands if not millions of minutes per month, which would be the most cost effective on the market? I've been looking at @ElevenLabs @Murf AI vogent.ai (not on PH apparently, new from @Y Combinator ) https://replicate.com/vaibhavs10/incredibly-fast-whisper/api Any others I (or o3/Perplexity) may have missed? Or should I build it myself with a transformer ...

... especially for productivity, dev tools and utilities. Maybe it's just the niche I'm in, but people seem more open to native tools again. Performance, offline access, cleaner UX, better keyboard support stuff that's still hard to replicate in a browser. I ve been building one myself recently, and honestly, it s been refreshing. No browser quirks, no CSS gymnastics, no worrying about five different viewport breakpoints. Just focusing on the actual experience. Is it just ... ... experience is like these days. I have no experience with desktop, but web-based frameworks like React always seemed to have a lower barrier to entry to me, especially since you don't have to worry about accommodating Mac vs

... world that you will be paid for? (Skill) Will you change your online career to offline? What will it be? Last but not least: Does it make sense to start a business when, with AI, your product can be replicated and you may end up with a copycat solution, or a big giant will surpass you with its resources? Comment from Siarhei(@siarhei_ai): @Haha, fair point AI is getting scary good at many tasks! But I think humans still ... ... interviews + resume check) to save time, but humans make the final call. What do you think AI will never replace in hiring? #AIHiring Comment from Siarhei(@siarhei_ai): @busmark_w_nika Totally agree. The winners won t be AI vs

... TLDR: I made a Kindle like white-label digital library that doesn't allow users to download files and also makes replication (piracy) of pdfs harder than usual. Would it be useful for you? ........................ Hello PH I recently made a digital library for a client. It was a freelance gig. They are a journal that sells research content as PDFs and had two strict requirements: The pdfs should be view-only. Users should not be able to download them ... ... prevent sharing) It should be hard for motivated individuals with the intent of piracy to replicate

... advice but I don t ever owe at the end of the year. Keep everything in your business and transfer if you need it as an income (bonus) Budget Breakdown: Total: $3500/month - Developer Salary:$1500-2K/month - AWS:$200 - Replicate Serverless GPU: $100 - APIs: $300 - Advertising:None (still in the test phase) Personal Finance: Pay our self first and then save for operations, taxes, emergency etc.): Remaining balance ($20k - $3500 = $16,500) We use about $10000 for salaries ... ... other businesses and the rest $6500 approx is for Living/operations/tax etc. Additional Finances: - Frontend Designer: $500/month - AWS Sagemaker: Very pricey; exploring alternatives