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Show HN: Poddley.com – Follow people, not podcasts

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1•onesandofgrain•3m ago•0 comments

Layoffs Surge 118% in January – The Highest Since 2009

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Turn-Based Structural Triggers: Prompt-Free Backdoors in Multi-Turn LLMs

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Peter Thiel warns the Antichrist, apocalypse linked to the 'end of modernity'

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Was going to share my work

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1•rbanffy•41m ago•1 comments
Open in hackernews

Ask HN: What's the competitive advantage these days?

16•creepy•6mo ago
AI is making everything easier. Anyone can clone most SaaS products in a week. I feel like technical skill is no longer valuable. What makes SaaS startups valuable, and what are the competitive advantages and moats these days?

Comments

codingdave•6mo ago
I'd question your premises -- AI makes the early boilerplate easy. Some people can clone the surface level UX of a SaaS in a week. Technical skill is absolutely needed to push beyond those two points. And technical implementation skills to code a SaaS has always been table stakes, not a competitive moat.
mnky9800n•6mo ago
If anyone can clone most SaaS products in a week, then I already am pretty impressed. But assuming it's true, I would also assume that "anyone" is somewhat exclusive to people who already understand or have the ability to understand how existing SaaS products work. So that just means every company should have a team of people creating whatever SaaS products they need that week. Except that would create so much unreasonable amount of codes to support that the point would be that coding would simply be a race to build edge case scenarios to account for everything. which is also a huge issue. and so i think that the true skill to have that will offer competitive advantage is people management. alternatively some domain knowledge. since domain knowledge will give you the standpoint to decide what you should be doing. but i think a lot of this is kind of overblown. like you aren't really going to want an AI generated on the fly payments system like Stripe or an HR system like tripletex. You are going to want one that simply works and solves your problem and not something your team hacked together in a week with AI.
mettamage•6mo ago
> If anyone can clone most SaaS products in a week, then I already am pretty impressed.

Yea, it's not true. Currently I'm seeing this business style type of co-founder that I met through a mutual connection. He can do things I couldn't, but cloning a SaaS under a week? It's not one of them.

He created an interactive prototype with lovable.dev and while it fleshes out his idea to me, he clearly isn't strong in UX-design either. Nor does he need to be.

JustExAWS•6mo ago
Technical skill has never been valuable after a certain point except for rare exceptions.

If you look at the leveling guidelines of any major tech company. Technical skill alone only gets you to a mid level job. After that it’s about scope, impact and dealing with ambiguity.

https://www.levels.fyi/blog/swe-level-framework.html

https://dropbox.tech/culture/sharing-our-engineering-career-...

A competitive advantage is knowing how to communicate business value from using technology.

Disposal8433•6mo ago
> Anyone can clone most SaaS products in a week

I give you the challenge to clone Jira or GitLab in a week. I'll give you a $million if you can do either.

oumua_don17•6mo ago
Not sure if it's appropriate to post ChatGPT's response here, but I gave the same challenge to o3 and it's response was:

``` 2025-07-20 10:32 That’s an exhilarating challenge! But here’s the sober reality:

*1. Scale & Surface Area*

* *Jira* and *GitLab* each represent well over a decade of engineering effort from dozens‑to‑hundreds of developers, QA, designers, product managers, and SREs. * They’re not just web apps—they’re ecosystems: issue tracking, CI/CD pipelines, permissions, integrations, APIs, marketplace extensions, mobile clients, high‑availability clustering, compliance tooling, analytics, and elaborate permission models.

*2. Engineering Effort in One Week* Even an aggressive “strip‑to‑core‑features” build would demand:

| Area | Must‑Have Functionality | Typical Complexity | Realistic Time (solo) | | ---------------------------- | ------------------------------- | ------------------ | --------------------- | | Auth & user management | SSO, 2FA, roles | weeks | 3‑4 weeks | | Issue / Merge request model | CRUD, workflow, attachments | months | 4‑6 weeks | | Git backend or sprint boards | Repo storage or board drag‑drop | months‑years | 8‑12 weeks | | CI runner orchestration | Job scheduler, logs, artifacts | years | 6‑12 months | | Notifications & webhooks | Email, Slack, webhooks | weeks | 3‑4 weeks | | Security & compliance | RBAC, audits, CVE patching | ongoing | Ongoing |

That’s after *scope‑cutting to the bone*—and still well beyond seven days for even a seasoned full‑stack team.

*3. Minimum Viable “Clone”* If the goal is a demo that looks Jira‑ or GitLab‑like and handles the absolute basics (login, create issue, simple Kanban board or Git repo viewer), you’d still need:

* *Pre‑built OSS components* (e.g., Focalboard, Gitea, Drone CI) * *Glue code* to stitch UI, auth, and database models * *DevOps* for cloud deploy, backups, SSL, monitoring * *Acceptance tests* so the demo doesn’t fall over during the pitch

With a well‑coordinated *5‑7 person tiger team*, an MVP façade might be shown inside a week—but it would be fragile, feature‑poor, and nowhere near production‑ready.

*4. What \$1 million can buy fast*

* *Fork & skin* an existing open‑source platform (e.g., Forgejo for GitLab‑like, OpenProject or Plane for Jira‑like). * Hire a *dedicated squad* (engineers, designer, DevOps) on a 3‑to‑6‑month crash program to reach parity for the specific subset of features you actually need. * Budget for *security audit, uptime SLA, and ongoing maintenance*—because the first release is only the beginning.

*5. Suggested Next Steps*

1. *Clarify scope:* Which exact capabilities do you really need on Day 1? 2. *Select a foundation:* OSS codebase vs. greenfield build. 3. *Form a team + timeline:* Realistically 12–24 weeks for a hardened v1 with a mid‑sized team. 4. *Milestones & deliverables:* Demo, beta, public launch, enterprise tier. 5. *Contingency planning:* Budget for security, scaling, and feature creep.

If you’d like, I can help map out a detailed project plan, assemble a tech‑stack recommendation, or break down resourcing and costs. Let me know how you’d like to proceed! ```

:-)

bigbuppo•6mo ago
Intentionally avoiding AI and making that a core value of the product.
Paradigm2020•6mo ago
Giving a shit as a service.

Choose the smallest niche you can find and make a product just for them.

Ie a business solution that solves problems, saves time, or gets more customers for small businesses.

CRM, POS for massage therapists in Florida only, fork the tax filing platform from the government and make it tailored for said massage therapist...

Software is a tool and lowest common denominator might make you a billionaire or leave you broke, serving/creating/finding a small group of people with similar needs who you can cater for is the ticket

rozenmd•6mo ago
It's literally this. Giving a shit as a service.

Tell a prospect/client you'll do something, do it, and you'll already be ahead of 90% of businesses out there.

alecco•6mo ago
Now that the menial can be done faster we can focus on Deep Work.
segmondy•6mo ago
The moat is not to be spoken of, not to be acknowledged, the moat is secret.
diatone•6mo ago
Same as it’s always been.

https://7powers.com/

waldopat•6mo ago
While it may be easier to build features, or even a simple product, marketing and sales are only getting harder. Your moat is your ability to grow fast, capture market and earn customer loyalty. From that perspective, technical skills need to move more into GTM engineering to a degree.

But what's sad about what you're suggesting is that we've built the most advanced LLMs in the history of humanity and all we can think to do with them is clone something that already exists. Innovation still requires a human brain and the LLMs only know what they've been told.

So I would say the need for technical skills is actually even more acute. We need smart people to solve highly complex problems as well as teams of developers to deliver quality, secure and efficient code.

mindfulhacker•6mo ago
i feel like given the commoditization of certain type of analytical skill through AI, the competitive advantage in general (on both an individual and company level) is shifting towards the ability to tap into higher order human abilities that are outside of what AI can do (or will ever be able to do). - how broad and deep is your perceptive ability? can you see things that others are not able to see? - how deep is your empathic and energetic attunement? can you sense subtleties in interpersonal interaction that others miss? - how connected you are to the somatic wisdom of your body? how self-aware are anble to self-regulate you? do you allow your triggers to cloud your judment and blind you? - how connected are you to your intuitive ability? can you know things that you have not learned? can you tap into uniquely creative ideas that no one has explored? this is not coming from the analytical mind.

my hot take is this: meditation and somatic practice is no longer optional in the age of AI. while everyone is deeply in the AI frenzy, the people who will stand out from the crowd are the ones who go all in to cultivate self-awareness and higher order human abilities.