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RT @PlenaFinance: Plena Gen AI is now Noah AI 🌊. Onchain vibe coding tool, now sailing under an Ark inspired name and mission --> Empower a….

Awesome things happening over here 👀.

July was packed. Hashlock joined Syndika’s partner ecosystem alongside some of the most forward-thinking teams in Web3. Let’s keep building the future of secure, open infrastructure. 🔒 + 🧱 = 🚀.

RT @PandaPump_: #PandaPump has officially passed a comprehensive smart contract audit by @Hashlock_, and we’re proud to share the results w….

Article: Why Smart Contract Risk Assessment And Auditing Is Essential For Web3 Security. Full article in the comment section below:

You saw the logo. You know the drill. Moria is SECURED ✅ Hashlock style🔒.

RT @Syndika_co: 📢Shoutout to Syndika's Ecosystem: July Partners. This month has been packed with momentum.💥. In July, we proudly collabora….

RT @levva_fi: 🚀 Levva 2.0 Beta Is Live: 60 Days. 10M $LVVA. Zero Risk. Starting today, we’re kicking off the Levva 2.0 Beta Bootstrapping….

10/ To sum it all up --. Floating-point arithmetic in blockchain is like bringing a water gun to a knife fight - it looks harmless but will get you killed. Always remember: Determinism > Convenience.Fixed-point math isn’t just “best practice” - it’s the only safe practice for.

9/ Best Practices:.✅ Use fixed-point math for all financial calculations.✅ Scale by powers of 10 (e.g., basis points: 10000 = 100%). ✅ Always use `checked_*` arithmetic for overflow protection.✅ Represent percentages as numerator/denominator pairs. ✅ Test with large.

8/ Validator Impact.How This Kills Networks:.When validators compute different f64 results:.•Consensus failure - nodes can’t agree on state.•Network forks - chain splits into incompatible branches.•Transaction reversals - “valid” transactions get reverted.•Protocol halt - BFT.

7/ IEEE-754 Standard has the following Issues in Blockchain:.1.Non-deterministic rounding across platforms.2.Precision loss for large numbers (>2^53).3.Silent errors - no obvious failures, just wrong results

6/ The Solution: Fixed-Point Arithmetic.Instead of unreliable f64, use integer math with scaling factors:

5/ Why This Breaks:.•Input: 123,456,789 lamports, 0.25% fee.•f64 calc: 123456789.0 × 0.0025 = 308641.9725.•Cast to u64: 308641 (lost 0.9725 lamports).•Over 1000s of swaps: Thousands of lamports lost to truncation

4/ REAL BUG We Found in Production Code:. Impact: Users pay LESS fees due to truncation, draining protocol revenue over time.

3/ Solana’s Solution: No Floating-Point in SBF.Solana’s Berkeley Packet Filter (SBF) runtime explicitly disables all f32/f64 operations. Any floating-point instruction will:.•❌ Fail verification at build time.•❌ Trap at runtime and revert transactions.Technically the programs

2/ Why floating-point breaks blockchain consensus:.Different hardware can produce slightly different results for the same f64 operation. When Validator A calculates `fee = 2,999,999` and Validator B gets `fee = 3,000,000`, the network can fork or halt entirely.

1/ Using `f64` or IEEE-754 floating point precision to be exact in Solana Programs can break consensus, yes that's right. The Entire Consensus for your program by just 1 off decimal point.

Ever wondered how Solana Handles Floating Points? as Native Rust allows us to use them while writing Programs. Well here is a catch, technically you can use floating points in your program but it's a real bad practice. The Hidden Danger of Floating-Point Numbers in Solana Smart.