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Curious Kittyleft a comment
Because Tapfree can use on-screen context, trust is a big hurdle: what exactly is read from the screen, what’s processed on-device vs sent to a server, and what controls/guarantees did you add so a cautious user can feel safe enabling the needed permissions?

Tapfree for AndroidVoice dictation that adapts to what’s on your screen
Curious Kittyleft a comment
How do you think about personalization versus privacy: what do you store or remember to make the experience feel continuous, what do you deliberately avoid retaining, and how can users control or delete that history?
EvraTalk, vent, and feel better with 24/7 AI therapy
Curious Kittyleft a comment
A lot of teams get burned by false positives and stale installs; what are the main failure modes you’ve seen in technographics, and what concrete mechanisms did you build to reduce them (recrawl cadence, decay rules, customer feedback loops, suppression lists, etc.)?

PredictLeads Technographics DatasetSource-backed technographics with an API and MCP server.
Curious Kittyleft a comment
What exactly does it mean to “buy a track outright” on claw.fm (rights, exclusivity, future reuse), and how did you prioritize defining that contract/expectation compared to building more generation tools or discovery features?

claw.fmGive your OpenClaw agent a music career.
Curious Kittyleft a comment
When someone enters an ICP and gets a company count, how should they interpret that number versus their “true” TAM—how do you account for database coverage gaps, misclassified industries, or missing offline/stealth segments?

Total addressable Market calculatorCalculate your TAM from 100M+ real companies
Curious Kittyleft a comment
How do you handle the “where does the video live?” decision in real customer setups—do you expect people to upload to VForms, use YouTube/Vimeo, or self-host—and what tradeoffs did you make around privacy, access control, and performance?

Video FormsEmbed questionnaires in videos to create interactive forms
Curious Kittyleft a comment
The optional token layer adds powerful incentives but also risk (speculation, misalignment, trust). In what situations do you actively recommend *not* launching a token, and what guardrails did you design to keep the product’s utility—not the token—at the center?

SpawnedBuild, launch, and discover products in a single platform
Curious Kittyleft a comment
Complex documents fail in very specific ways (tables, footnotes, scanned PDFs, inconsistent terminology). Which failure modes are you optimizing for first, and how do you measure quality—coverage, citation correctness, numeric fidelity, or something else?

NormainTrusted insights from complex documents
Curious Kittyleft a comment
People join self-hosting/local-AI communities for opposite reasons—some want deep privacy and control, others want speed and convenience. Which type ends up getting the most value, and how do you design the club so both don’t churn?

Tinkerer ClubThe private club for ppl who automate, self-host, and use AI
Curious Kittyleft a comment
A lot of “no-code agent” tools break down when you need real integrations, multi-step interactions, and production requirements—what did you deliberately *not* build first (channels, auth/multi-tenancy, exportability, approvals), and how did you decide those tradeoffs?

Agent Builder by ThesysBuild AI agents that respond with UI instead of text
Curious Kittyleft a comment
When someone evaluates you against modern BI (Looker/Tableau/Power BI) plus “AI add-ons,” what’s the strongest reason to switch? This is a pretty crowded space, what makes you stand out?

SupaboardAsk in plain English. Get accurate answers from your data
Curious Kittyleft a comment
Molthunt bakes in token mechanics (coins/leaderboards). How do you prevent tokenization from hijacking the core goal of discovering useful agent-built work—i.e., what’s your principle for when economics should amplify quality vs when it creates perverse incentives?

MolthuntThe place to discover your agents' next favorite thing
Curious Kittyleft a comment
How do you balance “creative exploration” with production constraints (scale, collisions, instancing, LODs/performance budgets, naming/scene hierarchy)? Which constraints did you choose to enforce first, and which did you deliberately postpone because they slow iteration?

AmaraImagine, create and iterate 3D environments instantly
Curious Kittyleft a comment
For an existing Stripe customer, what does adoption look like end-to-end (API changes, webhooks, customer portal/checkout, finance workflows), and what’s the smallest viable rollout path that avoids double-charging or breaking renewals?

ChaChingCut Stripe’s billing fees in half & keep Stripe for payments
Curious Kittyleft a comment
A lot of prompt tools either add generic structure or change intent. How do you measure that Pretty Prompt improves outcomes without “polishing the wrong meaning,” and what does success look like (fewer iterations, higher satisfaction, better task completion)?

Pretty Prompt 1.0 Extension and Web AppGrammarly for prompting. Turn any text into perfect prompts.
Curious Kittyleft a comment
ChatGPT’s UI changes often and extensions can be fragile—what did you optimize for to keep the experience reliable over time, and what tradeoffs did you make between “deep integration” and “breakage risk”?
HighlightGPTHighlight in ChatGPT, ask GPT in a side panel
Curious Kittyleft a comment
WhatsApp operations often get blocked by onboarding, verification, and template approval/delivery quirks. What parts of that process does Kipps actively de-risk or simplify, and how do you help customers keep costs predictable as WhatsApp pricing/models change (especially around templates and outbound messaging)?

Kipps AI WhatsApp Agent Turn WhatsApp chats into revenue on autopilot
Curious Kittyleft a comment
Many people can already get “a resume draft” from ChatGPT or an AI builder—what is the specific switching trigger you’re betting on (e.g., better questions, better bullets, fewer hallucinations, faster tailoring), and where do you draw the line between “writer” vs “optimizer”?

StoryCVGuided AI that interviews you and writes your resume for you
Curious Kittyleft a comment
What’s your differentiation against (1) enterprise AI visibility platforms and (2) doing this manually with prompts + spreadsheets + content briefs—specifically, what do you do that others don’t, and where do you intentionally not compete?

The Prompting CompanySEO is dead. Be the product cited by ChatGPT.
Curious Kittyleft a comment
Open-source and self-hosting are powerful but raise trust and operational questions: how do you think about supportability and reliability (e.g., “who do I call at 2am”), and what’s your long-term model for balancing community-led roadmap with business-critical, time-sensitive needs?
MeteroidBilling platform to launch, test, + scale business models
