TmpState.dev's answer

TmpState is a tokenless temporary JSON database. One curl tmpstate.dev creates a real database and returns its URL - and that URL is the only credential. No signup, no API keys, no .env, no OAuth.

• Zero credentials by design. The database URL is a capability (30+ characters of entropy, hashed at rest), the same trust model as an unguessable Google Docs share link. Nothing to provision, rotate, or leak into a repo.
• Agent-native. It is also a zero-key remote MCP server, so an AI agent can create and use its own backend with no auth handshake - it self-onboards from llms.txt.
• Ephemeral by default. Databases are free for 24 hours and expire automatically unless you keep them, so nothing lingers or bills silently.
• Honest, transparent pricing. Free for 24h, one-time extensions from $1, always-on Pro at $8/month. Every charge is disclosed before it is billed.

ReleasePad's answer:

Most changelog tools assume you'll write the release notes. ReleasePad assumes you won't. It connects to your GitHub repo, drafts release notes from merged PRs and commits using AI, and waits for one click of approval before publishing. From there it distributes to three places at once: a 4.3kb in-app widget, a public hosted SEO page, and a machine-readable Markdown URL that ChatGPT, Claude, and any other model can read. That third channel is the part nobody else ships, when a user asks an AI assistant "what changed in this API?", ReleasePad makes sure the assistant has the real answer instead of guessing.

TmpState.dev's answer

Compared to jsonbin.io, npoint.io, json-server, or standing up Firebase/Supabase, TmpState removes the entire setup step:

• No account and no keys - you get a working database from a single request, versus signing up and managing credentials elsewhere.
• Faster to first write - one curl, not a dashboard, a project, and a connection string.
• Built for agents - a native MCP server means your AI agent wires up its own storage instead of you pasting secrets into it.
• Safe to abandon - deletion by default means no orphaned data or surprise bills; you only pay ($1 extension or $8/month Pro) when the data actually matters.

Best for throwaway and prototype state. It is honest about when not to use it: it is not meant to be your permanent production database.

ReleasePad's answer:

Pricing and effort. Beamer starts at $49/mo and scales with monthly active users; Canny's Pro plan starts at $79/mo and scales with tracked users. ReleasePad is $35/mo flat per product, same price for a team of 1 or 200, no per seat fees, no usage cliff as you grow. And the DIY route (Notion, a blog, a Confluence page) is only free until you count the hours: you still write every entry by hand, still maintain the page, and still get no in-app surface or analytics. ReleasePad takes 30 seconds and one line of code to install, drafts the writing for you, and tells you which updates people actually opened.

TmpState.dev's answer

Developers and the AI agents working on their behalf. Primarily:

• Builders using AI coding agents (Claude Code, Cursor, and similar) who want their agent to provision its own backend.
• Indie hackers and solo builders prototyping quickly across several projects.
• Hackathon participants who need a backend in the next ten minutes and will not sign up for anything.
• Anyone who needs disposable, short-lived JSON storage without the ceremony of a full database.

ReleasePad's answer:

SaaS teams that ship faster than they communicate, indie hackers, solo founders, and small-to-mid product and engineering teams who merge PRs weekly but have no dedicated marketing or docs person. Typical buyer is a founder, head of product, or engineering lead at a product-led company where releases are constant and invisible. 153+ teams use it today, with 15,793+ release notes published..

TmpState.dev's answer

TmpState came out of a recurring frustration in agent workflows: AI agents constantly need somewhere to keep state, but you cannot hand them your real cloud credentials, and wiring up a database mid-task kills the flow. So the model was inverted - build a database where the URL itself is the only credential, so an agent (or a person with one curl) can create its own backend instantly, with nothing to sign up for and nothing to leak. It is a solo, founder-built, agent-first product, launched in July 2026.

ReleasePad's answer:

I've worked in technology companies all my life. I've kept watching teams merge twenty PRs a month while their end users, and their prospects, assumed the product had stalled. The changelog was always the last thing anyone wrote and the first thing that fell off. ReleasePad's premise is that if it isn't announced, it didn't happen: buyers check your pulse before they pay, and now AI assistants answer questions about your product whether or not you've given them anything accurate to read. The June 2026 launch of machine-readable Markdown output made that second audience explicit, your changelog now has human readers and agent readers, and both should get the same source of truth.

ReleasePad's answer:

Elixir + Phoenix + Redis + TailwindCSS + Vanilla JavaScript.

ReleasePad's answer:

-Orbitly -Stacklane -Nexaform -Claritask