The hottest SaaS Substack posts right now

And their main takeaways
Category
Top Business Topics

The Software Slog

Buck on Software • 884 implied HN points • 20 Mar 23
🕹 Technology SaaS
  1. The software industry may be facing a period of slow growth and low returns, akin to a tiring and boring slog.
  2. Consensus estimates predict a rebound in SaaS growth, resembling past historical market cycles.
  3. Zombie SaaS companies, sustained by oversized funding, create challenges for non-zombie competitors in terms of price competition and talent acquisition.

Eight Theories of How Agents Strangle SaaS

Pratik’s Pakodas 🍿 • 12 implied HN points • 09 Feb 26
💼 Business SaaS
  1. AI agents are becoming the main interface, orchestrating actions across apps via APIs so users rarely open the original SaaS UIs, which makes those products interchangeable and squeezes their margins.
  2. AI collapses the cost and time to build, enabling many small competitors to unbundle and replicate core features, eroding incumbents' moats and turning premium bundles into commodity pieces.
  3. The business model is shifting: per-seat pricing and predictable valuations are under threat, outcome- and data-focused models gain value, and investor uncertainty about long-term economics is driving repricing.

Inside the SaaS efficiency gap

Kyle Poyar’s Growth Unhinged • 449 implied HN points • 16 Jul 25
💼 Business SaaS
  1. Early-stage SaaS startups are getting smaller, now averaging just 7 employees compared to 13 in previous years. They are managing to achieve higher revenue per employee as they focus on efficiency.
  2. Bigger SaaS companies are facing challenges like team bloat and slower growth. Their revenue per employee is decreasing, meaning they need to find ways to improve efficiency.
  3. The trend is shifting toward lean teams that prioritize generalists and AI fluency. Startups are adapting by hiring fewer people who can handle multiple roles and leverage AI effectively.

Claude cowork and the case of SaaSpocalypse

Experiments with NLP and GPT-3 • 23 implied HN points • 05 Feb 26
🕹 Technology SaaS
  1. Anthropic's 'plugins' largely package commands and skills—essentially structured prompts—so they don't represent a big leap in the core AI itself.
  2. The real value is the integrations: connecting the model to SaaS systems of record lets it run real workflows and access live data.
  3. Selling off SaaS stocks after the announcement is likely short-sighted, since those integrations can make SaaS vendors more important; investors should check which companies are being integrated.

The MCP Freemium Strategy

Good Better Best • 3 implied HN points • 27 Feb 26
💼 Business SaaS
  1. MCPs let LLMs discover and call your product, making them a powerful new distribution channel that’s different from traditional APIs.
  2. Making MCP access free is often the right play because it boosts discoverability and user value, while usage limits or guardrails can nudge heavy users to upgrade.
  3. MCPs show up three ways — as a feature, a usage accelerant, or to power agentic workflows — and each style can be monetized with smart quotas or plan design.
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Paying the SOC2 Screenshot Tax

Margins by Ranjan Roy and Can Duruk • 331 implied HN points • 31 Jul 25
💼 Business SaaS
  1. SOC2 compliance can be seen as a necessary hurdle for small tech companies trying to build trust with larger clients, but it often feels like a tax rather than a true security upgrade.
  2. The process of obtaining SOC2 involves significant effort, including hiring auditors and filling out extensive spreadsheets, which can distract startups from product development.
  3. There's a growing call for a better compliance system that continuously monitors security rather than relying on periodic checks, as the current method can feel outdated and ineffective.

The state of B2B monetization in 2025

Kyle Poyar’s Growth Unhinged • 520 implied HN points • 04 Jun 25
💼 Business SaaS
  1. Traditional pricing models like flat-rate and seat-based are losing popularity. Companies are now favoring hybrid pricing to better match value and costs.
  2. Hybrid pricing is becoming the go-to choice for software companies, providing flexibility and a better upselling opportunity while keeping it simple for customers.
  3. Outcome-based pricing is highly desired but rarely adopted because it's complicated. Most companies struggle with measuring and ensuring consistent results for customers.

The VC Corner 📰 #13

The VC Corner • 319 implied HN points • 18 Feb 24
💼 Business SaaS
  1. Y Combinator wants startups to focus on finding the right product metrics. This will help them measure success and make better decisions.
  2. Understanding the SaaS IPO landscape is important for startups. It gives insights into how to get ready for going public and attract investors.
  3. Raising capital can be easier with the right tools like Fundingstack.com. They help connect startups with a large network of investors.

We are all doing AI wrong

Experiments with NLP and GPT-3 • 23 implied HN points • 30 Jan 26
🕹 Technology SaaS
  1. People are tired of AI being shoved into every product; users just want things that work reliably.
  2. Companies aren't using their own AI to fix basic bugs and bad interfaces, which suggests the tech either isn't ready for heavy lifting or it's being used more as marketing than as a solution.
  3. Stop adding gimmicky AI features and focus on fixing small, annoying problems so tools become reliable, private, and actually helpful.

Clouded Judgement 2.6.26 - Software Is Dead...Again...For Real this Time...Maybe?

Clouded Judgement • 18 implied HN points • 06 Feb 26
💼 Business SaaS
  1. Public software valuations have collapsed — the median NTM revenue multiple is about 3.6x and roughly 39% of the index trades below 3x, as investors reprice the sector amid much higher uncertainty.
  2. AI agents are poised to capture much of the new incremental value on top of systems of record, effectively pushing legacy cloud software down the stack into lower-growth middleware; a small minority (maybe ~10%) of incumbents may successfully capture the agent-driven S-curve.
  3. The market reaction may be overdone in the short term because many companies still show solid results and enterprise cloud migrations continue, but real operational problems (heavy SBC, long CAC paybacks) plus greater terminal risk justify a lower, more cautious multiple environment.

The Best of MRR Unlocked 2025

Startup Business Tips 🚀 • 43 implied HN points • 28 Dec 25
💼 Business SaaS
  1. Build a strong GTM foundation before you scale: be clear on one primary ICP, your positioning, and your dominant go-to-market motion so growth is repeatable, not random.
  2. Continuously analyze and refine your ICP and messaging as your product and market evolve, and keep that messaging consistent across website, content, outbound, and demos.
  3. Use founder-led channels like LinkedIn intentionally so content compounds, and focus on one or two high-impact growth channels plus a simple, documented sales process to drive wins, retention, and expansion.

AI companies are just SaaS companies

benn.substack • 869 implied HN points • 20 Dec 24
🕹 Technology SaaS
  1. AI companies have a lot in common with traditional SaaS companies. They’re selling software services, often built on complex tech, rather than just cool algorithms.
  2. The success of AI models like ChatGPT depends heavily on branding and user experience. People care more about how easy and useful the software is than just the tech behind it.
  3. OpenAI is at a crossroads, needing to adapt its business model and offerings to stay ahead, especially as competition increases and tech costs rise.

Outcome-Based Positioning

Good Better Best • 4 implied HN points • 20 Feb 26
💼 Business SaaS
  1. Agentic AI creates a new value ladder where customers pay more for outcomes — i.e., work actually done for them — rather than just features, volume, or support.
  2. Companies can adopt outcome-based positioning in two ways: conservatively by reframing plans around service levels (do it yourself → done with you → done for you), or aggressively by directly comparing AI costs to a human worker to show value.
  3. If you’re still selling inputs like seats or usage, start shifting your messaging toward completed work today; even small moves toward outcome-focused copy or pricing will make your product feel more valuable.

Momentum Cyber's Almanac

The Security Industry • 31 implied HN points • 08 Jan 26
🕹 Technology SaaS
  1. Cybersecurity M&A hit record levels in 2025 with $96B deployed across 400 transactions, a 270% rise in deal value, and a $32B landmark acquisition.
  2. Funding also rebounded strongly with $20.7B invested—the best year since 2021—and cloud-native/SaaS deals made up 59% of deal volume and 97% of M&A capital deployed.
  3. Strategic buyers dominated disclosed deal value (92%) and the industry’s vendor taxonomy was overhauled, highlighted by a new Cyberscape and a 1,000‑logo infographic.

Introducing PricingSaaS MCP

Good Better Best • 2 implied HN points • 26 Feb 26
💼 Business SaaS
  1. Connect PricingSaaS MCP to your LLM (Claude, ChatGPT, or Gemini) to query PricingSaaS data directly; setup takes about two minutes.
  2. Use it for pricing, packaging, and product research to see what other companies have done and get tailored feedback for launches, credit models, or price changes.
  3. Monitor competitor pricing and get market summaries — pull recent pricing changes, request additions for missing competitors, and produce instant benchmarks consultants can use with clients.

What I learned from tracking 443 SaaS pricing pages

Kyle Poyar’s Growth Unhinged • 907 implied HN points • 16 Oct 24
💼 Business SaaS
  1. Many SaaS companies are raising their prices. In 2024, about 42% of them made adjustments, with an average increase of 20%.
  2. Some companies are adding or removing plans to better meet customer needs. Others are being more strategic with their pricing pages to attract larger clients.
  3. Pricing strategies are evolving, with some companies using discounts to gain new customers while others maintain strict pricing models to target premium segments.

Data is actually not a great VC-backed business

Five Links (and three graphs) by Auren Hoffman • 202 implied HN points • 27 Jul 25
💼 Business SaaS
  1. Data companies are not a good fit for venture capital because they grow slowly and don't need large amounts of funding. They can be profitable but don't usually scale quickly like software companies do.
  2. The number of hedge funds and other businesses buying data is actually declining, and despite expectations, AI hasn't significantly changed this trend.
  3. The best data companies are often private and attract interest from private equity firms rather than venture capital. They offer steady profits but not the explosive growth that VCs typically look for.

6 founders sharing their mistakes & tips going from 0-1

Startup Business Tips 🚀 • 56 implied HN points • 23 Nov 25
💼 Business SaaS
  1. Focus on one clear, painful problem and validate it with real paying customers before you scale. Do regular discovery, prioritize their feedback, and keep iterating until you reach product–market fit.
  2. Own and double down on reliable go-to-market channels instead of depending on rented platforms; build community, integrations, referrals, and launch often. Start manually (onboarding, outreach) to learn what works, then scale the proven plays.
  3. Hire and structure the team smartly and keep product craftsmanship disciplined: bring in senior people early, avoid premature VP titles, be ruthless about hires, and pay down tech debt. Keep onboarding and pricing simple so customers don’t get overwhelmed.

Clouded Judgement 1.30.26 - Software is Dead...Again!

Clouded Judgement • 15 implied HN points • 30 Jan 26
💼 Business SaaS
  1. SaaS valuations are at decade lows — the median NTM revenue multiple is about 4.1x and FCF multiples have fallen sharply while growth rates are also weak (median NTM growth ~12%).
  2. Investor confidence in the SaaS business model has been shaken because AI and the much lower marginal cost to build software increase competition, threaten retention, and raise the chance that some companies have little or no terminal value.
  3. Markets will likely only recover if companies show stable retention and resilient cash flows despite AI challengers over multiple quarters, and early reports (e.g., ServiceNow) haven’t yet shown widespread retention declines.

Evals Startups Are Not Enterprise Ready

Enterprise AI Trends • 253 implied HN points • 08 Jun 25
🕹 Technology SaaS
  1. Evals platforms may not be enterprise ready yet, as they often just repackage simpler tasks rather than offering real value. It's better to explore free open-source options first.
  2. The market for evals is crowded and competitive, leading to similar features across different products. This makes it a buyer's market, with pricing being more important than unique capabilities.
  3. Using open-source tools can provide most features needed without locking you into one vendor. Building internal capabilities first can help avoid future complications when needing to switch providers.

The Go-To-Market silver bullet

Top of the Lyne • 373 implied HN points • 13 Apr 23
💼 Business SaaS
  1. Pictory used Behavioral AI and in-app nudges to boost Net Revenue Retention by 14%.
  2. Pictory faced challenges with high churn rates and poor free-to-paid conversions.
  3. The use of Behavioral AI and in-app nudges led to a 38% increase in free-to-paid conversions in just three weeks.

Managing cancer, an agency and building SaaS products

Kenny’s Sub • 99 implied HN points • 14 Apr 24
💼 Business SaaS
  1. Managing a business while dealing with serious health issues like cancer requires clear delegation and smart prioritization. It's important to have a supportive team that can share the workload.
  2. Building a business with multiple co-founders can offer different strengths and perspectives. Sharing a common dream and working closely together helps in navigating the challenges of starting a company.
  3. Balancing client work with developing your own products can be tricky but is essential for long-term success. Treating internal projects like client projects with clear goals can help maintain focus and ensure progress.

Your guide to the 2024 SaaS benchmarks

Kyle Poyar’s Growth Unhinged • 504 implied HN points • 21 Nov 24
💼 Business SaaS
  1. 2024 sees stabilization in SaaS growth rates, with early stages performing better while larger companies struggle. Smaller startups are showing stronger growth despite an overall slowdown.
  2. Early stage SaaS and AI companies are thriving, significantly increasing growth rates and maintaining lean teams. They are using automation and smart hiring to succeed.
  3. There's a shift in pricing models for AI products, with many still using traditional subscription models but a growing number exploring usage-based and outcome-based pricing. It's a sign of changing market demands.

From selling access to selling work (and what it means for you)

Kyle Poyar’s Growth Unhinged • 512 implied HN points • 30 Oct 24
💼 Business SaaS
  1. Companies are shifting from charging for access to software to billing for the actual work done by AI. This means businesses will charge based on how much the AI helps them, like charging per task completed.
  2. With these new pricing models, customers can pay only when they see results. However, it can be tricky to figure out who deserves credit for any success achieved.
  3. As the industry evolves, businesses will have to rethink how they predict revenue and manage customer relationships, making it more about actual usage and outcomes instead of just subscriptions.

☁ God Bless Klaviyo

Hard Mode by Breaking SaaS • 235 implied HN points • 01 Sep 23
💼 Business SaaS
  1. Klaviyo's efficiency is part of their success with a high CAC Payback and low burn rate.
  2. Klaviyo's strong NRR of 119% is driven by price increases, customer contact growth, and new product launches.
  3. Klaviyo, as a purpose-built SaaS platform, combines data analytics and marketing to offer a unique solution.

Why Parker Conrad’s Contrarian Playbook on SaaS & AI Is a Blueprint for Repeat Founder Success

Day Zero: Always Learning • 85 implied HN points • 30 Jul 25
💼 Business SaaS
  1. Replacing operations with AI isn't easy. It's better to automate from the start than try to fix things later when they get messy.
  2. Successful software should be a suite of apps that work well together, not just a bunch of individual tools. This approach builds more power in enterprise software.
  3. AI isn't making engineering work faster yet. Companies still need many engineers because the actual improvements haven't been seen.

How we use Attio for a new PLG startup

nonamevc • 24 implied HN points • 18 Nov 25
💼 Business SaaS
  1. Attio is a practical CRM choice for early-stage startups that need flexibility and good user experience. It may not have all the features of bigger CRMs like HubSpot, but it's suitable for product-led growth teams.
  2. Integrating product and billing data in Attio is crucial for understanding customer behavior. Using tools like n8n can help automate data connections, making sure the team has a clear view of customer interactions.
  3. Email enrichment is important to transform unknown users into recognizable profiles. By combining personal and corporate email data, companies can better understand and engage their users.

Don't Sign Long Term AI Deals

Enterprise AI Trends • 84 implied HN points • 27 Jul 25
🕹 Technology SaaS
  1. Avoid locking yourself into long-term AI deals. Technology is changing fast, and what you invest in today might not be useful in a few months.
  2. Be cautious of making big commitments based on fear of missing out. It's better to be flexible than to be stuck with something that may not work later.
  3. When considering AI platforms or products, think about their relevance over time instead of just their immediate benefits.

How to make PLG + SLG work in the AI era

Good Better Best • 2 implied HN points • 13 Feb 26
💼 Business SaaS
  1. PLG and SLG are not separate — design your product and contract journey so customers can flow between self-serve and sales-led experiences without friction.
  2. Prioritize flexibility in packaging and pricing, using committed-spend or credit models so customers can scale up and you avoid constant re-contracting.
  3. Align systems and finance: unify billing, CPQ, and reporting and treat professional services as an on-demand, billable product so expansion stays measurable and low-friction.

Incumbents Are Starting to Rugpull AI Startups

Enterprise AI Trends • 105 implied HN points • 12 Jun 25
🕹 Technology SaaS
  1. Companies like Slack are limiting access to their data, which can hurt AI startups that rely on this information. It’s a way for big companies to protect their interests and possibly push competitors out.
  2. When large tech firms create restrictions, they can become more like closed systems or 'walled gardens'. This helps them keep more control and profit from new AI technologies.
  3. If you're starting an AI business, be aware of these challenges from larger companies. It's important to find ways to adapt and work around these restrictions to succeed.

The Pipeline Metrics That Matter

Bottom Up by David Sacks • 281 implied HN points • 29 Oct 24
💼 Business SaaS
  1. Tracking pipeline generation is crucial for growth in SaaS companies. If new opportunities are increasing, it's a good sign to hire more sales staff; if not, boost marketing efforts.
  2. Understanding pipeline conversion metrics helps identify where improvements are needed. Knowing how long deals take to close and where they tend to get stuck can lead to better sales processes.
  3. Active pipeline metrics allow for accurate forecasting. Keeping an eye on open opportunities and their expected close dates helps businesses plan and strategize effectively.

Going fulltime on a Shopify SaaS Startup

No-Code Exits • 157 implied HN points • 13 Apr 23
💼 Business SaaS
  1. The success story of James Devonport and Userloop, a Shopify SaaS startup, showcases the power of starting small and niching down on a specific platform.
  2. Implementing AI, like ChatGPT-4, can greatly enhance customer onboarding and retention strategies in a product.
  3. For No-Code makers, the key takeaway is to launch early, gather customer feedback, and iterate quickly to adapt to customer needs and achieve product-market fit.

Is your SaaS human-centric? Are you sure?

42 Slash • 157 implied HN points • 24 Jul 23
💼 Business SaaS
  1. Having conversations with customers can help reflect the value of your product and attract new customers.
  2. Understanding why customers do things is just as important as knowing what they do.
  3. To truly be customer-centric, B2B companies should invest more in human-centric research.

👊🏽 Special Edition: Ganas and I invested in Avify!

Lolita's Newsletter • 78 implied HN points • 28 Jan 24
💼 Business SaaS
  1. Ganas Ventures and Lolita Taub invested in Avify, and you can too!
  2. Avify is addressing a $1.8 trillion inventory distortion challenge with strong traction and community support.
  3. Avify's team has a strong background, the market opportunity is significant in Latin America, and they are focused on revolutionizing SMB inventory management.

Startups.email - $6k MRR is worth $300k

startupsemail • 137 implied HN points • 03 Jun 23
💼 Business SaaS
  1. Building on top of an existing platform like Notion can be beneficial for startup success.
  2. Starting a newsletter business can lead to financial security without the need for coding skills.
  3. Jumping on the AI chat trend, even for a short period, can be a lucrative opportunity.