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Par-AI.app
Baby Tracker
Baby tracker by Amila
Clever Baby
BABY MILESTONES
Baby Tracker โ Newborn
Breastfeeding โ Baby Tracker
Nurtura Daily: Baby Tracker
ParAI is an AI-powered baby and child tracker that grows with your family from birth to age 7.
Baby Module (0-2 years)
- Feeding tracking โ bottles, nursing, solids with amounts and times
- Sleep tracking with SmartSpot โ AI predicts nap times, feeds, and bedtime based on your baby's actual patterns
- Diaper changes, growth charts (WHO percentiles), health & medications
- CDC developmental milestones with AI analysis
- AI Sleep Coach โ personalized sleep training plans with daily check-ins
Child Module (2-7 years)
- Meal tracking with food variety and acceptance
- Screen time management with AAP-recommended limits
- Behavior tracking with AI Behavior Coach
- Active play logging and developmental milestones
What makes ParAI different
- SmartSpot โ learns your baby's rhythm and predicts the full daily schedule
- AI Chat โ 24/7 evidence-based answers backed by AAP, WHO, and CDC guidelines
- AI chat includes - type/speak naturally ("fed 120ml at 3pm") and it logs instantly
- Works offline, syncs when connected
- Family sharing with view/edit permissions
Available in 7 languages. Free to use with Pro and Premium tiers.
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Par-AI.app's answer:
ParAI is the only parenting app that covers ages 0-7 with built-in AI coaching.
Two modules, one app โ Baby (0-2) and Child (2-7) โ with on-device ML for instant natural language logging, offline support, and family sharing.
Par-AI.app's answer:
Par-AI.app's answer:
Par-AI.app's answer:
I have two kids, and I've been through the chaos twice. With my first, I tried every baby tracker out there โ most were just glorified spreadsheets. The ones with smart features like Huckleberry charged $10/month just to tell you when the next nap might be. I also spent money on sleep consultants who gave generic advice that didn't work for my baby.
With my second child, I decided to build what I wished existed. An app that actually learns YOUR baby's rhythm โ not some textbook average โ and tells you what's coming next. That became SmartSpot. I added an AI chat that knows my child's actual data and gives answers backed by AAP and WHO guidelines, not random forum posts.
I built it for ages 0-7 because the challenges don't stop at age 2. Toddler tantrums, picky eating, screen time battles โ I've dealt with all of it and wanted AI-powered help for those too. That's why ParAI has both a Baby module and a Child module with an AI Sleep Coach and AI Behavior Coach built in.
The app is live and I use it daily with my own kids. Now I want to get it into the hands of other parents who are going through the same thing.
Par-AI.app's answer:
Based on our record, GitHub seems to be a lot more popular than Par-AI.app. While we know about 2472 links to GitHub, we've tracked only 1 mention of Par-AI.app. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / about 9 hours ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / about 15 hours ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 10 days ago
The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 12 days ago
Fallback chains โ og:title โ twitter:title โ- SSRF protection โ if you fetch user-supplied URLs, you MUST block
localhost, RFC-1918 ranges, and internal hostnames, or your preview endpoint is a proxy into your own infrastructure- Caching โ you do not want to re-fetch a URL on every render
- Rate limiting โ a public...
- Source: dev.to / 14 days ago
I'm a DevOps/Cloud engineer, 6+ years in the field. My world is Python, Bash, Linux, CI/CD pipelines, cloud infrastructure โ not mobile apps. Last October I started building a parenting app (ParAI) with a small team โ though in practice, I handle most of the development myself. No funding, no big team. - Source: dev.to / 2 months ago
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VS Code - Build and debug modern web and cloud applications, by Microsoft
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