Research answer
What AppTrendKit can say about HackerPillar: HN Reader today
HackerPillar: HN Reader has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
Rank history
Observed chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution
Country estimates are aggregated only after country-level predictions exist.
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 3.0
- Released
- Mar 14, 2023
- Last updated
- Feb 23, 2026
- Content rating
- 17+
- Default storefront
- PH
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
HackerPillar helps you read Hacker News with less friction and more focus. Browse top stories in a clean, high-performance feed, open deep discussions with readable comment threads, and switch to Reader Mode for long-form articles. Save stories, read offline, and track threads you care about. Key features: - Fast, modern Hacker News feed - Readable comments with thread controls - Focused Reader Mode - Saved Stories + Offline Library - Thread tracking and activity checks - Advanced search and custom feeds (Pro) - Home screen widget support - Share extension for quick imports HackerPillar Pro unlocks: - HN account actions (login, vote, reply) - Advanced search and custom feeds - Extended reader and tracking features - Additional power-user tools across the app Subscription details: - Title: HackerPillar Pro - Length: Monthly and Yearly - Price: Pricing varies by region and is shown in-app before purchase - Payment is charged to your Apple Account at confirmation of purchase - Subscription renews automatically unless canceled at least 24 hours before the end of the current period - Manage or cancel in Settings > Apple ID > Subscriptions Privacy Policy: http://smartcodeapps.tech/hackerpillar-privacy-policy/ Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Built for people who read Hacker News every day.
Store creative
Screenshots
Competitive set
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 11:22 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: No persisted model version.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 11:22 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology



