Filter
Exclude
Time range
-
Near
A good business model should not turn your heaviest users into a source of loss. This is exactly why I have always believed that a “coding plan” (usage‑based pricing) is a terrible business. Think of a gym that only makes money because people buy memberships and then never show up. That’s a broken logic. A sound business model should ensure that your most core, highest‑volume users generate the largest profit – not the other way around. #BusinessModel #StartupTruth #UsageBasedPricing #BadEconomics
Jun 13
GLM-5.2 is Fully Open, Frontier Intelligence Belongs to Everyone Today, the sudden restriction of certain frontier models is deeply regrettable. At a time when access to frontier models is abruptly cut off for non-technical reasons, we are even more convinced of one thing: science should be global. The path to AGI (Artificial General Intelligence) must never be enclosed by high walls. We have always believed that AGI should be the cornerstone for all of humanity to collaboratively explore the boundaries of intelligence and solve complex challenges, rather than a privilege monopolized by a few rules and subject to revocation at any moment. In the face of external blockades and restrictions, our attitude is one of radical openness. Frontier intelligence must remain open-source, accessible, and buildable, serving every dedicated developer. GLM-5.2 is Zhipu's most capable open-source model to date. It not only supports a truly usable 1M context window but also maintains a continuous lead in the independent completion of long-horizon tasks, providing solid foundational support for building complex agent applications. It also continues to be our main engine for creating the strongest domestic coding model. Tonight at 5:21—at this special moment—GLM-5.2 will officially be available to all GLM Coding Plan users (including Lite / Pro / Max). The API will also go live next week. A step closer to frontier intelligence for everyone. The future of AI is open, and it is for the people. ModelKey: GLM-5.2
33
17
300
101,111
"Use of artificial intelligence by big companies is exploding—& the soaring cost has some of them pumping the brakes in a way that could complicate AI’s triumphal march across the economy." wsj.com/tech/ai/corporate-am… #TheWideningTurn #ai #cost #tokenmaxxing #usagebasedpricing
1
24
Demand starts up top. Revenue lands at the bottom. But it’s decided in the middle. And that’s where Gotransverse operates. Learn more: tinyurl.com/nhafasw4 #Integration #UsageBasedPricing #RevenueManagement
5
Every SaaS product grows differently — some scale better with predictable subscriptions, while others thrive on pay-as-you-go flexibility. #SaaS #SaaSPricing #UsageBasedPricing #SubscriptionModel #TechStartup
3
Choosing the right SaaS pricing model isn’t just about revenue — it’s about matching value with customer needs. From freemium to usage-based pricing, every model shapes growth differently. 🚀💡 #SaaS #SaaSPricing #PricingStrategy #Freemium #SubscriptionModel #UsageBasedPricing
7
Most AI SaaS Pricing Is Wrong: The Compute-Based Model That Stops Token Burn The fastest way to kill an AI SaaS isn’t bad product-market fit, it’s pricing token-burning compute like zero-marginal-cost software. - Traditional SaaS can get away with flat-rate plans because the cost of one more user is tiny. AI changes that entirely: every prompt, workflow, and background job consumes real inference cost. If your revenue is fixed but your model spend scales with usage, your margins collapse fast. - “Unlimited” is especially dangerous in AI. A $20/month customer isn’t just storing more rows or making a few extra API calls—they can trigger enough model usage to generate $200 in token costs. In normal SaaS, heavy users stress infrastructure. In AI SaaS, they can directly wipe out profitability. - The fix is to price the AI job, not the generic subscription. Users don’t care about tokens, so don’t sell tokens. Translate compute into understandable units: credits, documents processed, workflows executed, invoices extracted, summaries generated. Internally, you map those actions to token burn and target margin. - Credit systems and value metrics give you predictable economics without confusing customers. A lightweight classification can cost 1 credit, while a multi-step extraction pipeline costs 10. That lets you reflect compute intensity in pricing while keeping the experience simple and fair. - Hard caps and overages are not a nice-to-have—they’re survival infrastructure. If you don’t set limits, warnings, and overage paths before launch, your first power user will do it for you with an invoice. Metered billing, credit ledgers, and automatic access controls should be part of the product from day one. Most AI founders obsess over prompts, UX, and launch strategy, then treat billing like an afterthought. That’s backwards. If you want an AI SaaS that survives growth, you need pricing that scales with compute before you go viral, not after the bill arrives. #AI #SaaS #UsageBasedPricing #AIBusiness #Startups #Developers codervibe.dev/blog/stop-burn…
1
52
AI agents are breaking the economics SaaS was built on. That is the tension behind @Metronome’s upcoming webinar with @poyark and @l3amm. For two decades, software monetization revolved around human seats. One employee. One subscription. But autonomous agents can now execute the workload of multiple employees simultaneously, forcing companies to rethink how software captures value. Kyle Poyar brings the market lens from Growth Unhinged and OpenView. Scott Woody brings the infrastructure reality after scaling monetization at @Dropbox and leading @stripe Revenue Suite through Metronome. The next generation of SaaS winners will not just build better AI products. They will build pricing models that survive a world where software no longer scales with headcount. #saaspricing #usagebasedpricing #agenticai #futureofsaas #sftech
1
44
Our new Product Catalog page details how complex real-world monetization models are configured inside a unified structure without external pricing engines or stitched logic. Learn more: tinyurl.com/4hrnbc33 #HybridPricing #UsageBasedPricing #Monetization
13
This seat-based SaaS pricing is quietly breaking under AI. When one agent replaces 5 humans but consumes 10x the compute, who pays? This new post breaks down every AI pricing model (usage, credits, outcome-based, hybrid), and what actually aligns cost, value & trust in 2025: dev.to/selectiveduplicate/ai… #AI #SaaS #APIMonetization #UsageBasedPricing
39
AI is breaking legacy SaaS billing. 🧱 📉Schematic just raised $6.5M to fix it! By decoupling entitlements from code, they’re helping companies launch usage-based & credit-based pricing in half the time.The future of monetization isn’t just an invoice—it’s a runtime control plane. 🚀 #SaaS #AI #Fintech #Stripe #StartupNews #Schematic #UsageBasedPricing
9
10
47
The Hidden "Efficiency" Tax: New models like @AnthropicAI @claudeai Opus 4.7 use tokenizers that can consume 35% more tokens for the same input, while "thinking harder" in agentic settings to produce even more output tokens. #usagebasedpricing #tokens #LLMs
1
17
Top Usage-Based Pricing Tools for Content Teams: Cost Comparison and Optimization 2026 Read More 👉 cutt.ly/dtAMIJbS #UsageBasedPricing #SaaS2026 #ContentStrategy #MarketingInsights #DataDrivenMarketing #CostControl #ContentOps #BusinessGrowth
17
Nearly 65% of vendors are adopting some form of usage-based pricing with the rise of AI, according to Bain & Company. So, doing it right becomes the next big thing. @Clodura, a modern GenAI GTM platform, enables full-funnel engagement by helping businesses find, nurture and convert leads. They built a monetization strategy that delivers the best value to their customers while supporting sustainable growth. Join us on 24th March (Tuesday) at 10:30 a.m. EST (9 p.m. IST) and learn from Hrishikesh Kale on how Clodura.ai operationalized a nuanced UBP strategy. Register for the webinar – meet.zoho.in/ldrg-hsb-qzw #Webinar #UsageBasedPricing #ZohoBilling #AI #SaaS #AIMonetization
6
74
Looking to accelerate revenue with better usage-based pricing strategies or planning to implement a usage-based model? Then our next webinar in the Modern Monetization series is for you! Mastering usage-based pricing for AI and SaaS businesses with Zoho Billing and @Clodura Register now - meet.zoho.in/ldrg-hsb-qzw What you'll learn: - The 2026 monetization landscape and the winning models - A look into various usage-based pricing strategies - Balancing value with operational complexity - Evaluating the right billing product for your model (and evaluating success) - Tips for building or transitioning to usage-based pricing Finally, learn from Hrishikesh Kale on how Clodura.ai standardized and delivered value. (Q&A included!) Join Sameer Mohan, Head of Marketing for Zoho Billing & Zoho Invoice, and Hrishikesh Kale, Product Manager for Clodura.ai live on 24 March at a.m. EST | p.m. GMT Register now: meet.zoho.in/ldrg-hsb-qzw #SaaS #UsageBasedPricing #AI #Monetization #Webinar #ZohoBilling
3
10
116
A global telecom ditched legacy hardware sales, switched to usage-based billing with @BluLogix, and doubled revenue in 3 years. No custom development required. bit.ly/3OUquoZ #UsageBasedPricing #Telecom #BluLogix #RevenueGrowth
6
Still using spreadsheets to manage SaaS revenue? That won't scale. 📊 This whitepaper breaks down how data & analytics prepare you for usage-driven growth. bit.ly/4rgTBQx #SaaS #RevenueManagement #UsageBasedPricing #ASC606
11
Pricing rarely creates complexity; fragmented usage data does. March’s 𝙈𝙤𝙣𝙚𝙩𝙞𝙯𝙖𝙩𝙞𝙤𝙣 𝙈𝙞𝙣𝙪𝙩𝙚 will explore why event standardization and streamlined ingestion are foundational to revenue clarity. 𝗖𝗼𝗺𝗶𝗻𝗴 𝘀𝗼𝗼𝗻. #UsageBasedPricing #RevenueIntegrity
3
Ytel replaced its homegrown billing system with Gotransverse to gain real-time usage visibility, automate prepaid balances, and ensure accurate invoicing across voice, SMS, and email services. #EnterpriseBilling #UsageBasedPricing #ModernMonetization
1
9