🎯Stop wasting time navigating through endless enterprise menus. Learn how to personalize your #NetSuite home tab by adding custom search portlets, KPI meters, and live trend graphs to track performance patterns instantly🎥youtube.com/watch?v=7xY6an1M… #ERP #BusinessAutomation #8QUANTA

how mutt portlets look at you when there's no USB-C

Eu trabalhei lá séculos atrás e no projeto era usado um framework de portlets horroroso, extremamente bugado... Não havia nenhuma justificativa técnica pra alguém ter escolhido aquilo. Até que pouco tempo depois explicaram quem escolheu, qual era a empresa etc. Já sabe né...

Rebuilt my on-chain workflow this week. Fastest path I’ve found to turn analysis into tokens uses @GlintAnalytics How I do it Ask in plain English (no SQL) → AI suggests queries and charts Stitch portlets: metrics tables notes in one view, not 5 tabs Mint the dashboard on-chain to lock authorship Publish, get usage, earn points → convert to $GLNT at set intervals Iterate across Solana / AVAX / Sonic with the same template Why bother $GLNT sold out day one (Nov 22 at $0.018 on Kommunitas), now on MEXC Analysts get paid when work is used, not when it goes viral On-chain provenance turns dashboards into assets, not throwaway screenshots Team has shipped before (Binance Brazil) Bybit hackathon top 10 Tip: compare TVL vs active wallets vs liquidity inflows in one canvas. The narrative either holds or it doesn’t. Context > headlines #OnChainData #GLNT #AnalystEconomy If you already grind Dune/Nansen for free, what stops you from making your work ownable and paid here?

spent my saturday rebuilding an on‑chain tracker and tossed in @GlintAnalytics portlets charts, tables, notes all glued into one view and tvl vs active addresses stopped being a guess and became a signal their AI Dashboard Tools actually speed up insight work, companies report ~25 30% lower turnover when they use the workflows, and $GLNT sold out day one in november, multi‑chain on Solana/AVAX/Sonic dashboards mint on‑chain so authorship = value, analytics turning into assets who else minting their work and turning it into yield or still hoarding drafts?

spent the weekend rebuilding my onchain tracker and dropped @GlintAnalytics into the mix portlets let me glue charts, tables and notes into a single view. after an afternoon tvl vs active addresses stopped being a guess and started being a signal #onchain #analytics dashboards mint on-chain so authorship actually matters. $GLNT sold out day one in november, multi-chain on solana/avax/sonic. market-validated quality signals surfaces useful work. companies using glint report 25-30% lower turnover if you value accuracy over noise, give it a spin. converting drafts into $GLNT or still hoarding?

Goodnight fam Spent the weekend wiring my tracker into @GlintAnalytics not loud, actually useful. Portlets let me glue charts, tables and notes into one view so TVL vs active addresses stopped being a guess and started being a signal Minted a dashboard to lock authorship, watched it climb leaderboards as Market‑Validated Quality Signals did the heavy lifting. $GLNT sold out day one; multi‑chain on Solana/AVAX/Sonic Who else is turning drafts into mintable insights?

Spent the weekend rebuilding my on‑chain tracker and dropped @GlintAnalytics into the mix. Not loud, just useful. Portlets let me glue charts, tables and notes into a single view. Spent an afternoon, suddenly TVL vs active addresses stopped being a guess and started being a signal $GLNT sold out day one in November, multi‑chain on Solana/AVAX/Sonic, and dashboards mint on‑chain so authorship actually matters. Feels like analytics turning into assets anyone else converting points into $GLNT or still hoarding drafts?

I just remembered AOP and smalltalk modules with UIs or the old mashups of WSRP (Web Services for Remote Portlets)

Rebuilt my on-chain setup this weekend - replaced scattered charts with portlets, suddenly TVL vs active addresses clicked - let Market-Validated Quality Signals surface real usefulness instead of hype - shared a short thread, earned Glint points, and actually climbed the leaderboards - ambassador flow looks real: contribute, get validated, convert into $GLNT at launch Signal over noise feels attainable with @GlintAnalytics who else is trading vanity for verification?

gm. Spent the week building a dashboard on @GlintAnalytics and something clicked. Portlets made raw onchain noise readable. I queried "wallet balance at block X" and got an instant, accurate result that pre-indexed archival state stuff actually works Accuracy there doesn't disappear. Good calls stack into memory. $GLINT tokenizes access so you rent curated history instead of operating petabyte infra. It nudges analysts to think long term, not chase virality Whose full wallet history from 2016 would you inspect first?

Gm poked around @GlintAnalytics last week and spent an afternoon swapping portlets. Turned a scatter into a metric portlet and TVL vs active addresses snapped into place. Published a short thread, earned Glint Points, watched the Ambassador flow map points → $GLINT at launch. Portlets (chart, table, metric, text, custom queries) make dashboards composable, debateable, and actually useful for real onchain reasoning The archival state views are the kicker wallet-at-block and historical TVL without replaying nodes changes how I validate stories. Who else is stress-testing portlet combos and what unexpected insight flipped your view most? #Crypto #OnChain #Analytics

If you're serious about on-chain research, stop chasing loud timelines I built a portlet-heavy dashboard on @GlintAnalytics chart portlets for flow trends, table portlets for transfer lists, metric portlets for TVL and active addresses, plus a custom query for cohort slicing AI-assisted layout cut my setup time, community verification gives signals more accountability Their token/rewards are early-stage and the accuracy track record is still forming, but having one place that turns raw blocks into actionable insight changed how I trade and write ideas Who else is using portlets to turn questions into answers?

gm friends today's plans: > swap a scatter for a metric portlet on a Solana dashboard > compare TVL vs active addresses until something clicks > publish a short thread, earn Glint Points, watch rep build > test Ambassador flow to see how points map to $GLNT found @GlintAnalytics last week and it quietly changed how i make calls portlets let you iterate fast, peers validate the work, incentives steer toward repeatable insight not noise who else is tinkering with portlet combos this week, share tips?

Found Glint last week spent an afternoon swapping portlets (metric → scatter → table) and a chart that used to be noise turned into a clean signal On @GlintAnalytics portlets are the product: earned Glint Points for a short thread, saw Ambassador flow map points → $GLNT, and learned dashboards actually earn over time. With 43% of tokens earmarked for analysts/community, staking boosts rep and platform buys/burns push scarcity Who else is testing portlet combos and watching reputation stack into real rewards?

Over the past few days, I’ve been reworking how I track on-chain data, and Glint showed up at just the right time. @GlintAnalytics isn’t loud or flashy, but the more you use it, the more the difference becomes clear. What really stands out to me is the portlet system. You can combine charts, tables, metrics, text, and custom queries in a way that matches your own logic. I spent an entire afternoon replacing scattered charts with metric-based portlets, and suddenly the relationship between TVL and active addresses became obvious. No guessing the data speaks for itself. I shared a short thread with those insights, earned Glint points, and started to understand how the Ambassador flow works: contribute real value → get recognized → convert into $GLNT at launch. Dashboards here aren’t static. Others review them, validate them, and reputation is built on good decisions, not click counts. The token is still early and volatility is expected. But what keeps me interested is the incentive structure: Glint rewards repeatable, meaningful insights instead of noise. Anyone else experimenting with interesting portlet combinations? @GlintAnalytics @cookiedotfun #SNAPS #CookieDotFun

Found @GlintAnalytics last week it quietly changed how I build dashboards Portlets are the product: chart, table, metric, text, custom queries. Spent an afternoon swapping a scatter for a metric portlet; TVL vs active addresses clicked into place. Published a short thread, earned Glint Points, saw the Ambassador flow map points → $GLNT at launch. Dashboards evolve here: peers validate, good calls build reputation not clicks Token is early and volatile, but 43% of supply backs analysts/community, dashboards earn over time, staking builds rep and reduces supply, revenue funds buybacks and burns. Who's testing portlet combos?

Found @GlintAnalytics last week. Portlets are the product chart, table, metric, text, custom query. Spent an afternoon swapping a scatter for a metric and TVL vs active addresses finally clicked into place Tables for raw receipts, charts for trends, metric portlets for headlines, text for narrative, custom queries when you need exact control. Published a short thread, earned Glint Points, watched Ambassador flow map points → $GLNT at launch Dashboards stop being screenshots and become evidence. Peers validate, good calls build reputation, not clicks. Who’s testing portlet combos this week to turn onchain noise into repeatable alpha?

i dug around @GlintAnalytics today portlets actually make dashboards feel alive chart, table, metric, text, custom query each one has a job and settings that matter played with time ranges, thresholds, and an AI-assisted query that cleaned up raw onchain noise what hit me: a correct call doesn’t vanish it becomes part of your track record analysts get paid when traders use the work that flips incentives toward repeatable accuracy and clear context this feels like the start of a real #analystEconomy on #onchain who’s tracking their score on Glint?