AI Agents1 week ago
Frugal Tokens
Frugal Tokens – explore costs and usage across coding agents
dpc94 · HN
Frugal Tokens – explore costs and usage across coding agents
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Frugal Tokens – explore costs and usage across coding agents
dpc94 · HN
Frugal Tokens – explore costs and usage across coding agents
The permanent paid leaderboard for software tools. Start at $1 and pay more to climb.
@notathrv · X
Project management, CRM, and HR in one platform for software teams.
@aquib_builds · X
MyTaskly — task/project management SaaS, live at Problem: small teams overpay for bloated PM tools or just lose track of things in WhatsApp/spreadsheets.
Track expenses, manage budgets, and organize merchant preferences.
@MakpeExpenohmn · X
Just launched MAKPEXPENSEFLOW! 🚀 A simple web app to track expenses, manage budgets, and stay on top of your spending. Check it out here: #BuildInPublic #NoCode
Deploy any of 400+ open-source tools on your choice of 9 cloud providers.
@Dil_Lynn · X
LogicFrame connects proposals, invoicing, payment chasing, and expense tracking in one workflow — no more spreadsheets, templates, or scattered apps.
@abdullahbaig_07 · X
LogicFrame is a connected workspace for freelancers to manage proposals, clients , invoicing, payment chasing, and expenses in one place.
Build, verify, and ship software with teams and AI agents in one connected workspace.
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte
Add subscription, perpetual, or usage-based software licensing to your app via an API.
@LadeLade007 · X
The API-first licensing platform for developers who need subscription, perpetual, or usage-based models without building infrastructure from scratch.
Monitor AI and LLM applications with token tracking, cost analysis, and latency metrics.
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
Billing infrastructure for AI startups, handling payments, usage limits, and credits.
@coleywoleyyy · X
Yup, it’s buns. I vibe coded my own tool at Helicone, might make it easier
Leaderboard showing your AI token usage across Claude Code, Codex, Cursor and other coding tools.
SYeomans · HN
TokenMaxxer – track every AI token you spend across your coding tools
Compare costs of coding-agent harness strategies with event-level cache and context accounting.
taosx · HN
I created a simulation for coding harnesses based on my own pi sessions. When taking into account all factors, DS-v4-Pro is cheaper than gpt-5.6-luna due to caching. Look at the bill segments difference for cache read cost and uncached cost between deepseek and the other models. At this point is cheaper to use ds-v4-pro than the luna models from openai. ignore the numbers except the classic and keep in mind that classic is based on pi with the only change limiting tool output to 10kb https://har